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latentscope/clusters/cluster-001-labels-001.json

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+{
+  "id": "cluster-001-labels-001",
+  "cluster_id": "cluster-001",
+  "model_id": "nltk-top-words",
+  "text_column": "text",
+  "samples": 10,
+  "context": "",
+  "system_prompt": {
+    "role": "system",
+    "content": "You're job is to summarize lists of items with a short label of no more than 4 words. The items are part of a cluster and the label will be used to distinguish this cluster from others, so pay attention to what makes this group of similar items distinct.\n\nThe user will submit a list of items in the format:\n<ListItem>...</ListItem>\n<ListItem>...</ListItem>\n...\n\nYou should choose a label that best summarizes the theme of the list so that someone browsing the labels will have a good idea of what is in the list. \nDo not use punctuation, Do not explain yourself, respond with only a few words that summarize the list."
+  },
+  "max_tokens": 127818
+}

latentscope/clusters/cluster-001-labels-001.parquet

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+size 53848

latentscope/clusters/cluster-001-labels-002.json

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+{
+  "id": "cluster-001-labels-002",
+  "cluster_id": "cluster-001",
+  "model_id": "openai-gpt-4o-mini",
+  "text_column": "text",
+  "samples": 10,
+  "context": "",
+  "system_prompt": {
+    "role": "system",
+    "content": "You're job is to summarize lists of items with a short label of no more than 4 words. The items are part of a cluster and the label will be used to distinguish this cluster from others, so pay attention to what makes this group of similar items distinct.\n\nThe user will submit a list of items in the format:\n<ListItem>...</ListItem>\n<ListItem>...</ListItem>\n...\n\nYou should choose a label that best summarizes the theme of the list so that someone browsing the labels will have a good idea of what is in the list. \nDo not use punctuation, Do not explain yourself, respond with only a few words that summarize the list."
+  },
+  "max_tokens": 127817
+}

latentscope/clusters/cluster-001-labels-002.parquet

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+size 53960

latentscope/clusters/cluster-001-labels-default.parquet

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+size 50168

latentscope/clusters/cluster-001.json

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+{
+  "id": "cluster-001",
+  "umap_id": "umap-001",
+  "samples": 15,
+  "min_samples": 5,
+  "cluster_selection_epsilon": 0.005,
+  "n_clusters": 74,
+  "n_noise": 1255
+}

latentscope/clusters/cluster-001.parquet

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+size 15795

latentscope/embeddings/embedding-001.h5

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latentscope/embeddings/embedding-001.json

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+{
+  "id": "embedding-001",
+  "model_id": "\ud83e\udd17-nomic-ai___nomic-embed-text-v1.5",
+  "dataset_id": "state-legislators-2024",
+  "text_column": "text",
+  "dimensions": 768,
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latentscope/jobs/057ecdf9-a63e-4ab1-9bea-9371b1e2037b.json

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+{"id": "057ecdf9-a63e-4ab1-9bea-9371b1e2037b", "dataset": "state-legislators-2024", "job_name": "cluster", "command": "ls-cluster \"state-legislators-2024\" \"umap-001\" 15 5 0.005", "status": "completed", "last_update": "2024-11-13 13:53:52.464846", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "RUNNING: cluster-001", "n_clusters: 74", "noise points assigned to clusters: 1255", "cluster  raw_cluster", "0       15           15", "1       63           63", "2       61           61", "3       14           14", "4        8            8", "wrote /Users/enjalot/latent-scope-demo/state-legislators-2024/clusters/cluster-001.parquet", "POINT SIZE 30 for 7292 points", "", "0%|          | 0/74 [00:00<?, ?it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 74/74 [00:00<00:00, 8011.84it/s]", "done with cluster-001"], "times": ["2024-11-13 13:53:52.453248", "2024-11-13 13:53:52.453464", "2024-11-13 13:53:52.453599", "2024-11-13 13:53:52.453681", "2024-11-13 13:53:52.453776", "2024-11-13 13:53:52.453857", "2024-11-13 13:53:52.453949", "2024-11-13 13:53:52.454244", "2024-11-13 13:53:52.454334", "2024-11-13 13:53:52.454408", "2024-11-13 13:53:52.454493", "2024-11-13 13:53:52.454570", "2024-11-13 13:53:52.454641", "2024-11-13 13:53:52.462613", "2024-11-13 13:53:52.462743", "2024-11-13 13:53:52.464843"], "run_id": "cluster-001"}

latentscope/jobs/131c6e60-be30-4f82-9adf-9ad54cf1a288.json

@@ -0,0 +1 @@
+{"id": "131c6e60-be30-4f82-9adf-9ad54cf1a288", "dataset": "state-legislators-2024", "job_name": "rm", "command": "rm -rf /Users/enjalot/latent-scope-demo/state-legislators-2024/scopes/scopes-002*", "status": "completed", "last_update": "2024-11-13 14:07:03.436892", "progress": [], "times": []}

latentscope/jobs/1fbed8a6-4b02-4a0f-9848-6838b6fd0b60.json

@@ -0,0 +1 @@
+{"id": "1fbed8a6-4b02-4a0f-9848-6838b6fd0b60", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"cluster-001-labels-001\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + openai-gpt-4o-mini\" \"\" --sae_id=sae-001 --scope_id=scopes-001", "status": "completed", "last_update": "2024-11-15 16:42:44.371903", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-001", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id scopes-001", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-001"], "times": ["2024-11-15 16:42:44.370927", "2024-11-15 16:42:44.371175", "2024-11-15 16:42:44.371298", "2024-11-15 16:42:44.371394", "2024-11-15 16:42:44.371476", "2024-11-15 16:42:44.371562", "2024-11-15 16:42:44.371650", "2024-11-15 16:42:44.371743", "2024-11-15 16:42:44.371817", "2024-11-15 16:42:44.371902"], "run_id": "scopes-001"}

latentscope/jobs/2410141c-c2b3-4e9a-bb2e-2ade3d774bd4.json

@@ -0,0 +1 @@
+{"id": "2410141c-c2b3-4e9a-bb2e-2ade3d774bd4", "dataset": "state-legislators-2024", "job_name": "sae", "command": "ls-sae \"state-legislators-2024\" \"embedding-001\" \"enjalot/sae-nomic-text-v1.5-FineWeb-edu-100BT\" 64_32", "status": "completed", "last_update": "2024-11-13 13:51:49.519134", "progress": ["/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.", "_torch_pytree._register_pytree_node(", "/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.", "_torch_pytree._register_pytree_node(", "Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "RUNNING: sae-001", "Triton not installed, using eager implementation of SAE decoder.", "loading embeddings", "", "Fetching 2 files:   0%|          | 0/2 [00:00<?, ?it/s]", "Fetching 2 files: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2/2 [00:00<00:00, 6689.48it/s]", "Dropping extra args {'signed': False}", "Encoding embeddings with SAE", "", "Encoding batches:   0%|          | 0/57 [00:00<?, ?it/s]", "Encoding batches: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 57/57 [00:00<00:00, 1356.24it/s]", "encoding completed", "saving to disk", "calculating summary statistics", "ALL ACTS SHAPE (7292, 64)", "ALL INDS SHAPE (7292, 64)", "MATRIX (7292, 24576)", "MAX ACTIVATIONS (24576,)", "MAX ACTIVATIONS [0.         0.         0.         ... 0.         0.0244156  0.09028375]", "Number of dead features: 10732", "done with sae-001"], "times": ["2024-11-13 13:51:48.353604", "2024-11-13 13:51:48.353812", "2024-11-13 13:51:48.365375", "2024-11-13 13:51:48.365485", "2024-11-13 13:51:48.870750", "2024-11-13 13:51:48.870954", "2024-11-13 13:51:48.871074", "2024-11-13 13:51:48.871170", "2024-11-13 13:51:48.871266", "2024-11-13 13:51:48.871517", "2024-11-13 13:51:48.871601", "2024-11-13 13:51:48.872220", "2024-11-13 13:51:49.108485", "2024-11-13 13:51:49.108751", "2024-11-13 13:51:49.150673", "2024-11-13 13:51:49.150968", "2024-11-13 13:51:49.515347", "2024-11-13 13:51:49.515935", "2024-11-13 13:51:49.516281", "2024-11-13 13:51:49.517173", "2024-11-13 13:51:49.517611", "2024-11-13 13:51:49.517924", "2024-11-13 13:51:49.518201", "2024-11-13 13:51:49.518553", "2024-11-13 13:51:49.518930", "2024-11-13 13:51:49.519131"], "run_id": "sae-001"}

latentscope/jobs/26bcd4aa-c320-4505-97ea-963c1b6c7c7d.json

@@ -0,0 +1 @@
+{"id": "26bcd4aa-c320-4505-97ea-963c1b6c7c7d", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"cluster-001-labels-002\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + openai-gpt-4o-mini\" \"\" --scope_id=scopes-001", "status": "completed", "last_update": "2024-11-13 15:20:28.162054", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-001", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id scopes-001", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-001"], "times": ["2024-11-13 15:20:28.160490", "2024-11-13 15:20:28.160954", "2024-11-13 15:20:28.161048", "2024-11-13 15:20:28.161128", "2024-11-13 15:20:28.161703", "2024-11-13 15:20:28.161775", "2024-11-13 15:20:28.161843", "2024-11-13 15:20:28.161921", "2024-11-13 15:20:28.161988", "2024-11-13 15:20:28.162052"], "run_id": "scopes-001"}

latentscope/jobs/29e33537-7304-4051-bf40-c9af515e8b09.json

@@ -0,0 +1 @@
+{"id": "29e33537-7304-4051-bf40-c9af515e8b09", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"cluster-001-labels-002\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + openai-gpt-4o-mini\" \"\" --sae_id=sae-001 --scope_id=scopes-001", "status": "completed", "last_update": "2024-11-15 16:42:53.060328", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-001", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id scopes-001", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-001"], "times": ["2024-11-15 16:42:53.057943", "2024-11-15 16:42:53.058282", "2024-11-15 16:42:53.058466", "2024-11-15 16:42:53.058645", "2024-11-15 16:42:53.058782", "2024-11-15 16:42:53.059008", "2024-11-15 16:42:53.059114", "2024-11-15 16:42:53.059202", "2024-11-15 16:42:53.059327", "2024-11-15 16:42:53.060326"], "run_id": "scopes-001"}

latentscope/jobs/2f19b94a-493e-4288-825d-0932439dfe92.json

@@ -0,0 +1 @@
+{"id": "2f19b94a-493e-4288-825d-0932439dfe92", "dataset": "state-legislators-2024", "job_name": "python", "command": "python latentscope/scripts/upload_dataset.py \"/Users/enjalot/latent-scope-demo/state-legislators-2024\" \"ls-state-legislators-2024\" --main-parquet=\"scopes/scopes-001-input.parquet\" --private=true", "status": "running", "last_update": "2024-11-19 11:38:09.980540", "progress": ["ARGS Namespace(directory='/Users/enjalot/latent-scope-demo/state-legislators-2024', dataset_name='ls-state-legislators-2024', main_parquet='scopes/scopes-001-input.parquet', private='true', token=None)", "get key /Users/enjalot/code/latent-scope", "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.", "Token is valid (permission: write).", "Your token has been saved to /Users/enjalot/.cache/huggingface/token", "Login successful", "USERNAME enjalot", "Creating repository: ls-state-legislators-2024", "Repository created/verified: https://huggingface.co/datasets/enjalot/ls-state-legislators-2024", "DIRECTORY /Users/enjalot/latent-scope-demo/state-legislators-2024"], "times": ["2024-11-19 11:38:09.502767", "2024-11-19 11:38:09.503018", "2024-11-19 11:38:09.503158", "2024-11-19 11:38:09.597222", "2024-11-19 11:38:09.597480", "2024-11-19 11:38:09.597887", "2024-11-19 11:38:09.703695", "2024-11-19 11:38:09.704014", "2024-11-19 11:38:09.979810", "2024-11-19 11:38:09.980533"]}

latentscope/jobs/3055df17-88ed-49e7-a6fa-e9d7a12c47af.json

@@ -0,0 +1 @@
+{"id": "3055df17-88ed-49e7-a6fa-e9d7a12c47af", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"default\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + aaaaaaaaaaaaaa\" \"\"", "status": "completed", "last_update": "2024-11-13 14:05:36.317573", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-004", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id None", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-004"], "times": ["2024-11-13 14:05:36.316285", "2024-11-13 14:05:36.316571", "2024-11-13 14:05:36.316689", "2024-11-13 14:05:36.316802", "2024-11-13 14:05:36.316893", "2024-11-13 14:05:36.317296", "2024-11-13 14:05:36.317374", "2024-11-13 14:05:36.317440", "2024-11-13 14:05:36.317508", "2024-11-13 14:05:36.317572"], "run_id": "scopes-004"}

latentscope/jobs/33cdc725-a39e-405d-ae75-9dc19b8eeb43.json

@@ -0,0 +1 @@
+{"id": "33cdc725-a39e-405d-ae75-9dc19b8eeb43", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"cluster-001-labels-001\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + Nasdfasdf\" \"\"", "status": "completed", "last_update": "2024-11-13 14:02:39.144421", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-003", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id None", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-003"], "times": ["2024-11-13 14:02:39.142729", "2024-11-13 14:02:39.143708", "2024-11-13 14:02:39.143838", "2024-11-13 14:02:39.143923", "2024-11-13 14:02:39.144000", "2024-11-13 14:02:39.144077", "2024-11-13 14:02:39.144193", "2024-11-13 14:02:39.144279", "2024-11-13 14:02:39.144347", "2024-11-13 14:02:39.144420"], "run_id": "scopes-003"}

latentscope/jobs/36f9b9be-9657-465d-82f5-8571a6f1c5cd.json

@@ -0,0 +1 @@
+{"id": "36f9b9be-9657-465d-82f5-8571a6f1c5cd", "dataset": "state-legislators-2024", "job_name": "export-plot", "command": "ls-export-plot \"state-legislators-2024\" scopes-001 --plot_config=\"{\\\"label_over_points\\\":true,\\\"dynamic_label_size\\\":true,\\\"add_glow\\\":true,\\\"darkmode\\\":true,\\\"interactive\\\":false,\\\"dpi\\\":150,\\\"threshold\\\":-1,\\\"figsize\\\":[24,24],\\\"label_wrap_width\\\":10,\\\"point_size\\\":7,\\\"max_font_size\\\":32,\\\"min_font_size\\\":16,\\\"min_font_weight\\\":100,\\\"max_font_weight\\\":1000,\\\"font_family\\\":\\\"Roboto Condensed\\\",\\\"glow_keywords\\\":{\\\"kernel_bandwidth\\\":0.01,\\\"kernel\\\":\\\"exponential\\\",\\\"n_levels\\\":128,\\\"max_alpha\\\":0.75}}\"", "status": "completed", "last_update": "2024-11-14 12:21:17.590074", "progress": ["/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/dask/dataframe/__init__.py:31: FutureWarning:", "Dask dataframe query planning is disabled because dask-expr is not installed.", "", "You can install it with `pip install dask[dataframe]` or `conda install dask`.", "This will raise in a future version.", "", "warnings.warn(msg, FutureWarning)", "MAIN", "ARGS Namespace(dataset_id='state-legislators-2024', scope_id='scopes-001', plot_config='{\"label_over_points\":true,\"dynamic_label_size\":true,\"add_glow\":true,\"darkmode\":true,\"interactive\":false,\"dpi\":150,\"threshold\":-1,\"figsize\":[24,24],\"label_wrap_width\":10,\"point_size\":7,\"max_font_size\":32,\"min_font_size\":16,\"min_font_weight\":100,\"max_font_weight\":1000,\"font_family\":\"Roboto Condensed\",\"glow_keywords\":{\"kernel_bandwidth\":0.01,\"kernel\":\"exponential\",\"n_levels\":128,\"max_alpha\":0.75}}')", "Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: plots-scopes-001-002", "loaded dataset and scope", "loaded scope parquet Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "Non-profit and Community Leaders      891", "Private Law Firms                     752", "Public School Professionals           426", "Higher Education Positions            400", "Real Estate Professionals Group       396", "...", "Self-Employed Farmers                  23", "Health and Wellness Practices          22", "Insurance Agents and Services          20", "Nursing Positions and Roles            20", "Veterinary Services and Businesses     16", "Name: count, Length: 72, dtype: int64", "making plot (7292, 2) (7292,)", "using config {'label_over_points': True, 'dynamic_label_size': True, 'add_glow': True, 'darkmode': True, 'dpi': 150, 'figsize': [24, 24], 'label_wrap_width': 10, 'point_size': 7, 'max_font_size': 32, 'min_font_size': 16, 'min_font_weight': 100, 'max_font_weight': 1000, 'font_family': 'Roboto Condensed', 'glow_keywords': {'kernel_bandwidth': 0.01, 'kernel': 'exponential', 'n_levels': 128, 'max_alpha': 0.75}, 'noise_label': 'No Topic'}", "", "0%|          | 0/500 [00:00<?, ?it/s]", "1%|\u258f         | 7/500 [00:00<00:07, 62.51it/s]", "3%|\u258e         | 15/500 [00:00<00:07, 69.01it/s]", "5%|\u258d         | 24/500 [00:00<00:06, 76.53it/s]", "7%|\u258b         | 34/500 [00:00<00:05, 85.13it/s]", "9%|\u2589         | 46/500 [00:00<00:04, 96.56it/s]", "12%|\u2588\u258f        | 61/500 [00:00<00:03, 113.09it/s]", "15%|\u2588\u258c        | 77/500 [00:00<00:03, 127.80it/s]", "20%|\u2588\u2589        | 98/500 [00:00<00:02, 151.77it/s]", "26%|\u2588\u2588\u258c       | 130/500 [00:00<00:01, 202.24it/s]", "36%|\u2588\u2588\u2588\u258c      | 180/500 [00:01<00:01, 291.47it/s]", "46%|\u2588\u2588\u2588\u2588\u258c     | 230/500 [00:01<00:00, 353.81it/s]", "56%|\u2588\u2588\u2588\u2588\u2588\u258c    | 280/500 [00:01<00:00, 396.32it/s]", "66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c   | 330/500 [00:01<00:00, 427.26it/s]", "76%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c  | 380/500 [00:01<00:00, 448.17it/s]", "86%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 430/500 [00:01<00:00, 462.21it/s]", "96%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c| 480/500 [00:01<00:00, 471.89it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 500/500 [00:01<00:00, 296.98it/s]", "Resetting positions to accord with alignment", "Plot saved to /Users/enjalot/latent-scope-demo/state-legislators-2024/plots/plots-scopes-001-002.png", "Config saved to /Users/enjalot/latent-scope-demo/state-legislators-2024/plots/plots-scopes-001-002.json"], "times": ["2024-11-14 12:20:59.457490", "2024-11-14 12:20:59.457848", "2024-11-14 12:20:59.457998", "2024-11-14 12:20:59.458139", "2024-11-14 12:20:59.458354", "2024-11-14 12:20:59.458494", "2024-11-14 12:20:59.458703", "2024-11-14 12:21:13.590975", "2024-11-14 12:21:13.591281", "2024-11-14 12:21:13.591594", "2024-11-14 12:21:13.591686", "2024-11-14 12:21:13.591930", "2024-11-14 12:21:13.592007", "2024-11-14 12:21:13.592093", "2024-11-14 12:21:13.592165", "2024-11-14 12:21:13.592253", "2024-11-14 12:21:13.592333", "2024-11-14 12:21:13.592403", "2024-11-14 12:21:13.592482", "2024-11-14 12:21:13.592555", "2024-11-14 12:21:13.592634", "2024-11-14 12:21:13.592708", "2024-11-14 12:21:13.592793", "2024-11-14 12:21:13.592865", "2024-11-14 12:21:13.592945", "2024-11-14 12:21:13.593030", "2024-11-14 12:21:13.593102", "2024-11-14 12:21:13.593174", "2024-11-14 12:21:13.593252", "2024-11-14 12:21:13.593343", "2024-11-14 12:21:13.593435", "2024-11-14 12:21:13.703165", "2024-11-14 12:21:13.811744", "2024-11-14 12:21:13.916506", "2024-11-14 12:21:14.017290", "2024-11-14 12:21:14.119582", "2024-11-14 12:21:14.222689", "2024-11-14 12:21:14.323299", "2024-11-14 12:21:14.426884", "2024-11-14 12:21:14.528627", "2024-11-14 12:21:14.629830", "2024-11-14 12:21:14.730331", "2024-11-14 12:21:14.831541", "2024-11-14 12:21:14.931647", "2024-11-14 12:21:15.032347", "2024-11-14 12:21:15.133372", "2024-11-14 12:21:15.234536", "2024-11-14 12:21:15.274765", "2024-11-14 12:21:15.275009", "2024-11-14 12:21:17.589717", "2024-11-14 12:21:17.589948", "2024-11-14 12:21:17.590072"], "run_id": "plots-scopes-001-002"}

latentscope/jobs/3abd7f5b-320a-4089-b5a1-87f9522a7fee.json

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+{"id": "3abd7f5b-320a-4089-b5a1-87f9522a7fee", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"cluster-001-labels-002\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + openai-gpt-4o-mini\" \"\" --sae_id=sae-001 --scope_id=scopes-001", "status": "completed", "last_update": "2024-11-13 15:20:46.191236", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-001", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id scopes-001", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-001"], "times": ["2024-11-13 15:20:46.189790", "2024-11-13 15:20:46.190137", "2024-11-13 15:20:46.190247", "2024-11-13 15:20:46.190341", "2024-11-13 15:20:46.190432", "2024-11-13 15:20:46.190512", "2024-11-13 15:20:46.190596", "2024-11-13 15:20:46.190680", "2024-11-13 15:20:46.190762", "2024-11-13 15:20:46.191234"], "run_id": "scopes-001"}

latentscope/jobs/407ba6ea-ba70-4c51-88db-3c0ec01ccb11.json

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+{"id": "407ba6ea-ba70-4c51-88db-3c0ec01ccb11", "dataset": "state-legislators-2024", "job_name": "rm", "command": "rm -rf /Users/enjalot/latent-scope-demo/state-legislators-2024/scopes/scopes-004*", "status": "completed", "last_update": "2024-11-13 14:05:48.525494", "progress": [], "times": []}

latentscope/jobs/53ef0c10-0cc4-4968-b11f-753918bf1fe6.json

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+{"id": "53ef0c10-0cc4-4968-b11f-753918bf1fe6", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"cluster-001-labels-001\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + N/A\" \"\" --scope_id=scopes-001", "status": "completed", "last_update": "2024-11-13 13:57:57.785286", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-001", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id scopes-001", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-001"], "times": ["2024-11-13 13:57:57.784095", "2024-11-13 13:57:57.784634", "2024-11-13 13:57:57.784738", "2024-11-13 13:57:57.784829", "2024-11-13 13:57:57.784920", "2024-11-13 13:57:57.785000", "2024-11-13 13:57:57.785067", "2024-11-13 13:57:57.785133", "2024-11-13 13:57:57.785214", "2024-11-13 13:57:57.785284"], "run_id": "scopes-001"}

latentscope/jobs/5c373c23-beaf-4a82-8f30-25f394a4938f.json

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latentscope/jobs/625c89b4-8495-4e02-8631-a18a673af162.json

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latentscope/jobs/6734d196-d8e1-478f-9eb4-d5eb1a1be555.json

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latentscope/jobs/7ad9de31-91c6-4886-9a83-ba9e313740b2.json

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2.71it/s]", "61%|\u2588\u2588\u2588\u2588\u2588\u2588    | 45/74 [00:15<00:10,  2.72it/s]", "", "", "61%|\u2588\u2588\u2588\u2588\u2588\u2588    | 45/74 [00:16<00:10,  2.72it/s]", "62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f   | 46/74 [00:16<00:11,  2.41it/s]", "", "", "62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f   | 46/74 [00:16<00:11,  2.41it/s]", "64%|\u2588\u2588\u2588\u2588\u2588\u2588\u258e   | 47/74 [00:16<00:10,  2.65it/s]", "", "", "64%|\u2588\u2588\u2588\u2588\u2588\u2588\u258e   | 47/74 [00:17<00:10,  2.65it/s]", "65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258d   | 48/74 [00:17<00:10,  2.57it/s]", "", "", "65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258d   | 48/74 [00:17<00:10,  2.57it/s]", "66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c   | 49/74 [00:17<00:09,  2.71it/s]", "", "", "66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c   | 49/74 [00:17<00:09,  2.71it/s]", "68%|\u2588\u2588\u2588\u2588\u2588\u2588\u258a   | 50/74 [00:17<00:08,  2.85it/s]", "", "", 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3.34it/s]", "76%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c  | 56/74 [00:19<00:05,  3.11it/s]", "", "", "76%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c  | 56/74 [00:19<00:05,  3.11it/s]", "77%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b  | 57/74 [00:19<00:05,  2.96it/s]", "", "", "77%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b  | 57/74 [00:20<00:05,  2.96it/s]", "78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a  | 58/74 [00:20<00:05,  3.16it/s]", "", "", "78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a  | 58/74 [00:20<00:05,  3.16it/s]", "80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589  | 59/74 [00:20<00:05,  2.99it/s]", "", "", "80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589  | 59/74 [00:20<00:05,  2.99it/s]", "81%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588  | 60/74 [00:20<00:04,  3.05it/s]", "", "", "81%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588  | 60/74 [00:21<00:04,  3.05it/s]", 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"89%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 66/74 [00:23<00:02,  2.75it/s]", "", "", "89%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 66/74 [00:23<00:02,  2.75it/s]", "91%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 67/74 [00:23<00:02,  2.80it/s]", "", "", "91%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 67/74 [00:23<00:02,  2.80it/s]", "92%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f| 68/74 [00:23<00:02,  2.70it/s]", "", "", "92%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f| 68/74 [00:24<00:02,  2.70it/s]", "93%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e| 69/74 [00:24<00:01,  2.73it/s]", "", "", "93%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e| 69/74 [00:24<00:01,  2.73it/s]", "95%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d| 70/74 [00:24<00:01,  2.72it/s]", "", "", "95%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d| 70/74 [00:24<00:01,  2.72it/s]", "96%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c| 71/74 [00:24<00:01,  2.80it/s]", "", "", "96%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c| 71/74 [00:25<00:01,  2.80it/s]", "97%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b| 72/74 [00:25<00:00,  2.97it/s]", "", "", "97%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b| 72/74 [00:25<00:00,  2.97it/s]", "99%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a| 73/74 [00:25<00:00,  2.86it/s]", "", "", "99%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a| 73/74 [00:25<00:00,  2.86it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 74/74 [00:25<00:00,  3.07it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 74/74 [00:25<00:00,  2.87it/s]", "cluster 0 label: Funeral Home Operators", "cluster 1 label: Dental Practices and Providers", "cluster 2 label: United States Military Services", "cluster 3 label: Legal Professionals and Firms", "cluster 4 label: Fire and Emergency Services", "cluster 5 label: Christian Leadership Roles", "cluster 6 label: Independent Pharmacy Owners", "cluster 7 label: Personal Injury Law Firms", "cluster 8 label: Private Law Firms", "cluster 9 label: Accounting and Tax Services", "cluster 10 label: Labor and Advocacy Roles", "cluster 11 label: Business Owners and Managers", "cluster 12 label: Aviation Industry Professions", "cluster 13 label: Health and Wellness Practices", "cluster 14 label: Higher Education Positions", "cluster 15 label: Public School Professionals", "cluster 16 label: Nursing Positions and Roles", "cluster 17 label: Insurance Agency Owners", "cluster 18 label: Insurance Agents and Services", "cluster 19 label: Veterinary Services and Businesses", "cluster 20 label: Mortgage and Real Estate", "cluster 21 label: Banking and Finance Leaders", "cluster 22 label: Healthcare and Pharmaceutical Roles", "cluster 23 label: Healthcare Leadership and Services", "cluster 24 label: Fitness and Martial Arts Owners", "cluster 25 label: Real Estate Professionals Group", "cluster 26 label: Health and Wellness Businesses", "cluster 27 label: Mental Health and Community", "cluster 28 label: Agribusiness and Farming Initiatives", "cluster 29 label: Ranch and Farm Owners", "cluster 30 label: Family Dairy Farms", "cluster 31 label: Financial Services Professionals", "cluster 32 label: Family Owned Farms", "cluster 33 label: Self-Employed Farmers", "cluster 34 label: Farm Owners and Operators", "cluster 35 label: Legislative and Government Staff", "cluster 36 label: Local Business Owners", "cluster 37 label: Beverage and Service Businesses", "cluster 38 label: Restaurant and Bar Owners", "cluster 39 label: Grocery and Retail Businesses", "cluster 40 label: Self-employed Professionals", "cluster 41 label: Home Building Businesses", "cluster 42 label: Non-profit and Community Leaders", "cluster 43 label: Small Business Ownership", "cluster 44 label: Self Employed Professions", "cluster 45 label: Consultants and Freelancers", "cluster 46 label: Government and Public Services", "cluster 47 label: Government and Tribal Roles", "cluster 48 label: Government and Political Roles", "cluster 49 label: Government and Public Safety", "cluster 50 label: Law Enforcement Roles", "cluster 51 label: Law Enforcement Personnel", "cluster 52 label: Local Government Officials", "cluster 53 label: Government Administrative Positions", "cluster 54 label: Legal Positions and Roles", "cluster 55 label: County Government Positions", "cluster 56 label: Engineering and Environmental Services", "cluster 57 label: Small Business Owners", "cluster 58 label: Telecommunications and Services Professionals", "cluster 59 label: Transportation Industry Roles", "cluster 60 label: Automotive Business Owners", "cluster 61 label: Business and Industry Roles", "cluster 62 label: Construction Industry Leaders", "cluster 63 label: Local 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latentscope/jobs/8fe0c886-3fe2-4e51-9da8-398bfb2227ae.json

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+{"id": "8fe0c886-3fe2-4e51-9da8-398bfb2227ae", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"cluster-001-labels-001\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + nltk top words\" \"\"", "status": "completed", "last_update": "2024-11-13 14:01:02.889781", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-002", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id None", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-002"], "times": ["2024-11-13 14:01:02.888598", "2024-11-13 14:01:02.889093", "2024-11-13 14:01:02.889215", "2024-11-13 14:01:02.889310", "2024-11-13 14:01:02.889393", "2024-11-13 14:01:02.889485", "2024-11-13 14:01:02.889558", "2024-11-13 14:01:02.889628", "2024-11-13 14:01:02.889698", "2024-11-13 14:01:02.889780"], "run_id": "scopes-002"}

latentscope/jobs/9b45daac-dacc-4de4-9486-49520d5cad0a.json

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+{"id": "9b45daac-dacc-4de4-9486-49520d5cad0a", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"cluster-001-labels-001\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + nltk\" \"\" --scope_id=scopes-001", "status": "completed", "last_update": "2024-11-13 14:08:36.522577", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-001", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id scopes-001", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-001"], "times": ["2024-11-13 14:08:36.521401", "2024-11-13 14:08:36.521646", "2024-11-13 14:08:36.521750", "2024-11-13 14:08:36.521836", "2024-11-13 14:08:36.521926", "2024-11-13 14:08:36.522304", "2024-11-13 14:08:36.522373", "2024-11-13 14:08:36.522441", "2024-11-13 14:08:36.522508", "2024-11-13 14:08:36.522576"], "run_id": "scopes-001"}

latentscope/jobs/9f0d6bea-16f0-41d3-b8cb-5719d8a373f9.json

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+{"id": "9f0d6bea-16f0-41d3-b8cb-5719d8a373f9", "dataset": "state-legislators-2024", "job_name": "label", "command": "ls-label \"state-legislators-2024\" \"text\" \"cluster-001\" \"nltk-top-words\" 10 \"\"", "status": "completed", "last_update": "2024-11-13 13:57:52.372284", "progress": ["[nltk_data] Downloading package punkt to /Users/enjalot/nltk_data...", "[nltk_data]   Package punkt is already up-to-date!", "[nltk_data] Downloading package stopwords to", "[nltk_data]     /Users/enjalot/nltk_data...", "[nltk_data]   Package stopwords is already up-to-date!", "Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "RUNNING: cluster-001-labels-001", "", "Preparing extracts:   0%|          | 0/74 [00:00<?, ?it/s]", "Preparing extracts: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 74/74 [00:00<00:00, 2369.88it/s]", "", "0%|          | 0/74 [00:00<?, ?it/s]", "", "", "0%|          | 0/74 [00:00<?, ?it/s]", "", "", "0%|          | 0/74 [00:00<?, 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latentscope/jobs/af899ef4-4156-454d-bcf9-18ce7fda1862.json

@@ -0,0 +1 @@
+{"id": "af899ef4-4156-454d-bcf9-18ce7fda1862", "dataset": "state-legislators-2024", "job_name": "embed", "command": "ls-embed \"state-legislators-2024\" \"text\" \"\ud83e\udd17-nomic-ai___nomic-embed-text-v1.5\" --prefix=\"clustering: \" --batch_size=100 --max_seq_length=512", "status": "completed", "last_update": "2024-11-13 13:51:42.194455", "progress": ["/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.", "_torch_pytree._register_pytree_node(", "/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.", "_torch_pytree._register_pytree_node(", "/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/huggingface_hub/file_download.py:1150: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.", "warnings.warn(", "<All keys matched successfully>", "Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "RUNNING: embedding-001", "MODEL ID \ud83e\udd17-nomic-ai___nomic-embed-text-v1.5", "MODEL <latentscope.models.providers.transformers.TransformersEmbedProvider object at 0x136edd1f0>", "loading nomic-ai/nomic-embed-text-v1.5", "setting max seq length 512", "Checking for empty inputs", "embedding 7292 sentences in 72 batches", "", "0%|          | 0/72 [00:00<?, ?it/s]", "1%|\u258f         | 1/72 [00:00<00:29,  2.40it/s]", "3%|\u258e         | 2/72 [00:00<00:23,  2.92it/s]", "4%|\u258d         | 3/72 [00:00<00:21,  3.15it/s]", "6%|\u258c         | 4/72 [00:01<00:22,  3.08it/s]", "7%|\u258b         | 5/72 [00:01<00:21,  3.12it/s]", "8%|\u258a         | 6/72 [00:01<00:18,  3.55it/s]", "10%|\u2589         | 7/72 [00:02<00:17,  3.68it/s]", "11%|\u2588         | 8/72 [00:02<00:19,  3.31it/s]", 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"99%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a| 71/72 [00:16<00:00,  6.28it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 72/72 [00:16<00:00,  6.65it/s]", "73it [00:17,  5.22it/s]", "73it [00:17,  4.27it/s]", "done with embedding-001"], "times": ["2024-11-13 13:51:21.301288", "2024-11-13 13:51:21.301558", "2024-11-13 13:51:22.119957", "2024-11-13 13:51:22.120247", "2024-11-13 13:51:22.514603", "2024-11-13 13:51:22.515041", "2024-11-13 13:51:24.788814", "2024-11-13 13:51:25.086132", "2024-11-13 13:51:25.086520", "2024-11-13 13:51:25.086691", "2024-11-13 13:51:25.086912", "2024-11-13 13:51:25.087007", "2024-11-13 13:51:25.087113", "2024-11-13 13:51:25.087209", "2024-11-13 13:51:25.087294", "2024-11-13 13:51:25.087393", "2024-11-13 13:51:25.502999", "2024-11-13 13:51:25.792823", "2024-11-13 13:51:26.081892", "2024-11-13 13:51:26.417387", "2024-11-13 13:51:26.729650", "2024-11-13 13:51:26.935420", "2024-11-13 13:51:27.187219", "2024-11-13 13:51:27.555438", "2024-11-13 13:51:27.700437", "2024-11-13 13:51:28.051974", "2024-11-13 13:51:28.386141", "2024-11-13 13:51:28.802405", "2024-11-13 13:51:29.030116", "2024-11-13 13:51:29.337817", "2024-11-13 13:51:29.486771", "2024-11-13 13:51:29.636324", "2024-11-13 13:51:29.862349", "2024-11-13 13:51:30.140114", "2024-11-13 13:51:30.369988", "2024-11-13 13:51:30.589910", "2024-11-13 13:51:31.037227", "2024-11-13 13:51:31.257768", "2024-11-13 13:51:31.518651", "2024-11-13 13:51:31.663940", "2024-11-13 13:51:31.922829", "2024-11-13 13:51:32.060204", "2024-11-13 13:51:32.197677", "2024-11-13 13:51:32.598635", "2024-11-13 13:51:32.732153", "2024-11-13 13:51:33.019652", "2024-11-13 13:51:33.293497", "2024-11-13 13:51:33.557278", "2024-11-13 13:51:33.712766", "2024-11-13 13:51:33.846413", "2024-11-13 13:51:34.255581", "2024-11-13 13:51:34.516538", "2024-11-13 13:51:34.654995", "2024-11-13 13:51:34.777454", "2024-11-13 13:51:34.907971", "2024-11-13 13:51:35.188454", "2024-11-13 13:51:35.508549", "2024-11-13 13:51:35.781709", "2024-11-13 13:51:36.076560", "2024-11-13 13:51:36.233442", "2024-11-13 13:51:36.512554", "2024-11-13 13:51:36.664453", "2024-11-13 13:51:37.072459", "2024-11-13 13:51:37.195210", "2024-11-13 13:51:37.497426", "2024-11-13 13:51:37.650911", "2024-11-13 13:51:37.784954", "2024-11-13 13:51:38.056691", "2024-11-13 13:51:38.190689", "2024-11-13 13:51:38.507985", "2024-11-13 13:51:38.634397", "2024-11-13 13:51:38.915168", "2024-11-13 13:51:39.394097", "2024-11-13 13:51:39.529139", "2024-11-13 13:51:39.809305", "2024-11-13 13:51:40.098957", "2024-11-13 13:51:40.215063", "2024-11-13 13:51:40.355331", "2024-11-13 13:51:40.513160", "2024-11-13 13:51:40.662770", "2024-11-13 13:51:40.793760", "2024-11-13 13:51:40.941353", "2024-11-13 13:51:41.087658", "2024-11-13 13:51:41.222526", "2024-11-13 13:51:41.519562", "2024-11-13 13:51:41.652041", "2024-11-13 13:51:41.774675", "2024-11-13 13:51:41.904776", "2024-11-13 13:51:42.192801", "2024-11-13 13:51:42.193255", "2024-11-13 13:51:42.193434", "2024-11-13 13:51:42.194453"], "run_id": "embedding-001"}

latentscope/jobs/ef3bf47b-bd64-4630-be78-2340cf04be41.json

@@ -0,0 +1 @@
+{"id": "ef3bf47b-bd64-4630-be78-2340cf04be41", "dataset": "state-legislators-2024", "job_name": "rm", "command": "rm -rf /Users/enjalot/latent-scope-demo/state-legislators-2024/scopes/scopes-002*", "status": "completed", "last_update": "2024-11-13 14:08:41.094051", "progress": [], "times": []}

latentscope/jobs/f15d8c48-6446-407c-852e-dc6cae19432b.json

@@ -0,0 +1 @@
+{"id": "f15d8c48-6446-407c-852e-dc6cae19432b", "dataset": "state-legislators-2024", "job_name": "umap", "command": "ls-umap \"state-legislators-2024\" \"embedding-001\" 25 0.1 --seed=-1", "status": "completed", "last_update": "2024-11-13 13:52:08.366024", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "RUNNING: umap-001", "loading embeddings", "Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "reducing 768 embeddings to 2 dimensions", "UMAP(angular_rp_forest=True, metric='cosine', n_neighbors=25, verbose=True)", "Wed Nov 13 13:51:58 2024 Construct fuzzy simplicial set", "Wed Nov 13 13:51:58 2024 Finding Nearest Neighbors", "Wed Nov 13 13:51:58 2024 Building RP forest with 9 trees", "Wed Nov 13 13:52:00 2024 NN descent for 13 iterations", "1  /  13", "2  /  13", "3  /  13", "4  /  13", "Stopping threshold met -- exiting after 4 iterations", "Wed Nov 13 13:52:04 2024 Finished Nearest Neighbor Search", "Wed Nov 13 13:52:05 2024 Construct embedding", "", "Epochs completed:   0%|            0/500 [00:00]", "Epochs completed:   0%|            1/500 [00:00]", "Epochs completed:   6%| \u258c          31/500 [00:00]", "Epochs completed:  12%| \u2588\u258f         59/500 [00:00]", "Epochs completed:  17%| \u2588\u258b         87/500 [00:00]", "Epochs completed:  23%| \u2588\u2588\u258e        113/500 [00:01]", "Epochs completed:  28%| \u2588\u2588\u258a        139/500 [00:01]", "Epochs completed:  33%| \u2588\u2588\u2588\u258e       166/500 [00:01]", "Epochs completed:  39%| \u2588\u2588\u2588\u2589       194/500 [00:01]", "Epochs completed:  44%| \u2588\u2588\u2588\u2588\u258d      222/500 [00:01]", "Epochs completed:  50%| \u2588\u2588\u2588\u2588\u2589      249/500 [00:01]", "Epochs completed:  55%| \u2588\u2588\u2588\u2588\u2588\u258c     276/500 [00:01]", "Epochs completed:  61%| \u2588\u2588\u2588\u2588\u2588\u2588     303/500 [00:01]", "Epochs completed:  66%| \u2588\u2588\u2588\u2588\u2588\u2588\u258c    330/500 [00:01]", "Epochs completed:  71%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f   357/500 [00:01]", "Epochs completed:  77%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b   384/500 [00:02]", "Epochs completed:  82%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  411/500 [00:02]", "Epochs completed:  88%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a  438/500 [00:02]", "Epochs completed:  93%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e 465/500 [00:02]", "Epochs completed:  98%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a 492/500 [00:02]", "Epochs completed: 100%| \u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 500/500 [00:02]", "completed  0  /  500 epochs", "completed  50  /  500 epochs", "completed  100  /  500 epochs", "completed  150  /  500 epochs", "completed  200  /  500 epochs", "completed  250  /  500 epochs", "completed  300  /  500 epochs", "completed  350  /  500 epochs", "completed  400  /  500 epochs", "completed  450  /  500 epochs", "Wed Nov 13 13:52:08 2024 Finished embedding", "writing normalized umap umap-001", "wrote /Users/enjalot/latent-scope-demo/state-legislators-2024/umaps/umap-001.parquet", "POINT SIZE 30 for 7292 points", "done with umap-001"], "times": ["2024-11-13 13:51:58.904839", "2024-11-13 13:51:58.905864", "2024-11-13 13:51:58.908317", "2024-11-13 13:51:58.908440", "2024-11-13 13:51:58.908666", "2024-11-13 13:52:05.547753", "2024-11-13 13:52:05.548337", "2024-11-13 13:52:05.548623", "2024-11-13 13:52:05.548932", "2024-11-13 13:52:05.549188", "2024-11-13 13:52:05.549479", "2024-11-13 13:52:05.549829", "2024-11-13 13:52:05.550004", "2024-11-13 13:52:05.550135", "2024-11-13 13:52:05.550746", "2024-11-13 13:52:05.550921", "2024-11-13 13:52:05.551048", "2024-11-13 13:52:05.551153", "2024-11-13 13:52:06.197444", "2024-11-13 13:52:06.298733", "2024-11-13 13:52:06.401300", "2024-11-13 13:52:06.504476", "2024-11-13 13:52:06.606004", "2024-11-13 13:52:06.706871", "2024-11-13 13:52:06.807029", "2024-11-13 13:52:06.909636", "2024-11-13 13:52:07.013262", "2024-11-13 13:52:07.114191", "2024-11-13 13:52:07.219004", "2024-11-13 13:52:07.321261", "2024-11-13 13:52:07.423235", "2024-11-13 13:52:07.523389", "2024-11-13 13:52:07.625926", "2024-11-13 13:52:07.733049", "2024-11-13 13:52:07.834211", "2024-11-13 13:52:07.936603", "2024-11-13 13:52:08.037248", "2024-11-13 13:52:08.067257", "2024-11-13 13:52:08.067470", "2024-11-13 13:52:08.364448", "2024-11-13 13:52:08.364653", "2024-11-13 13:52:08.364768", "2024-11-13 13:52:08.364936", "2024-11-13 13:52:08.365030", "2024-11-13 13:52:08.365138", "2024-11-13 13:52:08.365231", "2024-11-13 13:52:08.365330", "2024-11-13 13:52:08.365424", "2024-11-13 13:52:08.365513", "2024-11-13 13:52:08.365617", "2024-11-13 13:52:08.365735", "2024-11-13 13:52:08.365833", "2024-11-13 13:52:08.365927", "2024-11-13 13:52:08.366022"], "run_id": "umap-001"}

latentscope/jobs/f4dd59c4-6ab3-4d09-825e-9792d3d780a7.json

@@ -0,0 +1 @@
+{"id": "f4dd59c4-6ab3-4d09-825e-9792d3d780a7", "dataset": "state-legislators-2024", "job_name": "scope", "command": "ls-scope \"state-legislators-2024\" \"embedding-001\" \"umap-001\" \"cluster-001\" \"default\" \"\ud83e\udd17-nomic-ai/nomic-embed-text-v1.5 + N/A\" \"\" --scope_id=scopes-001", "status": "completed", "last_update": "2024-11-13 14:00:45.440467", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: scopes-001", "umap columns Index(['x', 'y'], dtype='object')", "cluster columns Index(['cluster', 'raw_cluster', 'label'], dtype='object')", "scope_id scopes-001", "scope columns Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "wrote scope scopes-001"], "times": ["2024-11-13 14:00:45.438920", "2024-11-13 14:00:45.439476", "2024-11-13 14:00:45.439575", "2024-11-13 14:00:45.439660", "2024-11-13 14:00:45.439733", "2024-11-13 14:00:45.440179", "2024-11-13 14:00:45.440258", "2024-11-13 14:00:45.440333", "2024-11-13 14:00:45.440398", "2024-11-13 14:00:45.440464"], "run_id": "scopes-001"}

latentscope/jobs/fb552ca8-abff-4f79-b758-b724f9eea8fc.json

@@ -0,0 +1 @@
+{"id": "fb552ca8-abff-4f79-b758-b724f9eea8fc", "dataset": "state-legislators-2024", "job_name": "export-plot", "command": "ls-export-plot \"state-legislators-2024\" scopes-001 --plot_config=\"{\\\"label_over_points\\\":true,\\\"dynamic_label_size\\\":true,\\\"add_glow\\\":true,\\\"darkmode\\\":false,\\\"interactive\\\":false,\\\"dpi\\\":150,\\\"threshold\\\":-1,\\\"figsize\\\":[24,24],\\\"label_wrap_width\\\":10,\\\"point_size\\\":7,\\\"max_font_size\\\":32,\\\"min_font_size\\\":16,\\\"min_font_weight\\\":100,\\\"max_font_weight\\\":1000,\\\"font_family\\\":\\\"Roboto Condensed\\\",\\\"glow_keywords\\\":{\\\"kernel_bandwidth\\\":0.01,\\\"kernel\\\":\\\"exponential\\\",\\\"n_levels\\\":128,\\\"max_alpha\\\":0.75}}\"", "status": "completed", "last_update": "2024-11-14 11:11:07.181012", "progress": ["/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/dask/dataframe/__init__.py:31: FutureWarning:", "Dask dataframe query planning is disabled because dask-expr is not installed.", "", "You can install it with `pip install dask[dataframe]` or `conda install dask`.", "This will raise in a future version.", "", "warnings.warn(msg, FutureWarning)", "MAIN", "ARGS Namespace(dataset_id='state-legislators-2024', scope_id='scopes-001', plot_config='{\"label_over_points\":true,\"dynamic_label_size\":true,\"add_glow\":true,\"darkmode\":false,\"interactive\":false,\"dpi\":150,\"threshold\":-1,\"figsize\":[24,24],\"label_wrap_width\":10,\"point_size\":7,\"max_font_size\":32,\"min_font_size\":16,\"min_font_weight\":100,\"max_font_weight\":1000,\"font_family\":\"Roboto Condensed\",\"glow_keywords\":{\"kernel_bandwidth\":0.01,\"kernel\":\"exponential\",\"n_levels\":128,\"max_alpha\":0.75}}')", "Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: plots-scopes-001-001", "loaded dataset and scope", "loaded scope parquet Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "Non-profit and Community Leaders      891", "Private Law Firms                     752", "Public School Professionals           426", "Higher Education Positions            400", "Real Estate Professionals Group       396", "...", "Self-Employed Farmers                  23", "Health and Wellness Practices          22", "Insurance Agents and Services          20", "Nursing Positions and Roles            20", "Veterinary Services and Businesses     16", "Name: count, Length: 72, dtype: int64", "making plot (7292, 2) (7292,)", "using config {'label_over_points': True, 'dynamic_label_size': True, 'add_glow': True, 'darkmode': False, 'dpi': 150, 'figsize': [24, 24], 'label_wrap_width': 10, 'point_size': 7, 'max_font_size': 32, 'min_font_size': 16, 'min_font_weight': 100, 'max_font_weight': 1000, 'font_family': 'Roboto Condensed', 'glow_keywords': {'kernel_bandwidth': 0.01, 'kernel': 'exponential', 'n_levels': 128, 'max_alpha': 0.75}, 'noise_label': 'No Topic'}", "", "0%|          | 0/500 [00:00<?, ?it/s]", "1%|          | 6/500 [00:00<00:08, 59.60it/s]", "3%|\u258e         | 14/500 [00:00<00:07, 67.76it/s]", "5%|\u258d         | 23/500 [00:00<00:06, 76.52it/s]", "7%|\u258b         | 33/500 [00:00<00:05, 85.11it/s]", "9%|\u2589         | 45/500 [00:00<00:04, 95.46it/s]", "12%|\u2588\u258f        | 61/500 [00:00<00:03, 114.81it/s]", "15%|\u2588\u258c        | 77/500 [00:00<00:03, 128.40it/s]", "19%|\u2588\u2589        | 97/500 [00:00<00:02, 148.93it/s]", "24%|\u2588\u2588\u258d       | 121/500 [00:00<00:02, 175.82it/s]", "32%|\u2588\u2588\u2588\u258f      | 161/500 [00:01<00:01, 243.55it/s]", "42%|\u2588\u2588\u2588\u2588\u258f     | 209/500 [00:01<00:00, 312.91it/s]", "51%|\u2588\u2588\u2588\u2588\u2588     | 254/500 [00:01<00:00, 353.82it/s]", "61%|\u2588\u2588\u2588\u2588\u2588\u2588    | 304/500 [00:01<00:00, 395.74it/s]", "71%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588   | 353/500 [00:01<00:00, 421.37it/s]", "80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588  | 401/500 [00:01<00:00, 436.56it/s]", "90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 450/500 [00:01<00:00, 452.07it/s]", "99%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589| 497/500 [00:01<00:00, 455.19it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 500/500 [00:01<00:00, 285.91it/s]", "Resetting positions to accord with alignment", "Plot saved to /Users/enjalot/latent-scope-demo/state-legislators-2024/plots/plots-scopes-001-001.png", "Config saved to /Users/enjalot/latent-scope-demo/state-legislators-2024/plots/plots-scopes-001-001.json"], "times": ["2024-11-14 11:10:48.556398", "2024-11-14 11:10:48.556881", "2024-11-14 11:10:48.557172", "2024-11-14 11:10:48.557326", "2024-11-14 11:10:48.557462", "2024-11-14 11:10:48.557608", "2024-11-14 11:10:48.557743", "2024-11-14 11:11:02.922386", "2024-11-14 11:11:02.922676", "2024-11-14 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latentscope/jobs/ff1bd237-1993-4294-8082-d397e99fcc7c.json

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