layer_id
int64 0
223
| name
stringlengths 26
32
| D
float64 0.07
0.18
| M
int64 1.02k
4.1k
| N
int64 4.1k
14.3k
| Q
float64 1
4
| alpha
float64 1.67
8.98
| alpha_weighted
float64 -8.36
1.59
| entropy
float64 0.8
1.31
| has_esd
bool 1
class | lambda_max
float32 0.03
5.52
| layer_type
stringclasses 1
value | log_alpha_norm
float64 -8.25
1.61
| log_norm
float32 -0.65
1.02
| log_spectral_norm
float32 -1.47
0.74
| matrix_rank
int64 64
64
| norm
float32 0.22
10.5
| num_evals
int64 1.02k
4.1k
| num_pl_spikes
int64 5
24
| rank_loss
int64 960
4.03k
| rf
int64 1
1
| sigma
float64 0.14
3.57
| spectral_norm
float32 0.03
5.52
| stable_rank
float32 1.46
10.7
| status
stringclasses 1
value | sv_max
float64 0.18
2.35
| sv_min
float64 0
0
| warning
stringclasses 3
values | weak_rank_loss
int64 960
4.03k
| xmax
float64 0.03
5.52
| xmin
float64 0
0.72
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
100 | model.layers.14.mlp.up_proj | 0.131757 | 4,096 | 14,336 | 3.5 | 3.305637 | -0.190549 | 1.247377 | true | 0.875702 | dense | 0.208224 | 0.787785 | -0.057644 | 64 | 6.134576 | 4,096 | 10 | 4,032 | 1 | 0.729106 | 0.875702 | 7.005324 | success | 0.935789 | 0.000003 | 4,032 | 0.875702 | 0.289319 |
|
101 | model.layers.14.self_attn.k_proj | 0.127773 | 1,024 | 4,096 | 4 | 2.202169 | -2.054667 | 0.931148 | true | 0.116676 | dense | -1.825839 | -0.226163 | -0.93302 | 64 | 0.59407 | 1,024 | 12 | 960 | 1 | 0.347036 | 0.116676 | 5.091632 | success | 0.341578 | 0.000001 | 960 | 0.116676 | 0.01184 |
|
102 | model.layers.14.self_attn.o_proj | 0.136108 | 4,096 | 4,096 | 1 | 3.720698 | -2.886898 | 1.293951 | true | 0.167532 | dense | -2.644132 | 0.082323 | -0.775902 | 64 | 1.208711 | 4,096 | 9 | 4,032 | 1 | 0.906899 | 0.167532 | 7.21481 | success | 0.409307 | 0 | 4,032 | 0.167532 | 0.060565 |
|
103 | model.layers.14.self_attn.q_proj | 0.102481 | 4,096 | 4,096 | 1 | 2.354288 | -0.407783 | 1.214213 | true | 0.671106 | dense | -0.295325 | 0.336158 | -0.173209 | 64 | 2.168491 | 4,096 | 10 | 4,032 | 1 | 0.428264 | 0.671106 | 3.231219 | success | 0.819211 | 0 | 4,032 | 0.671106 | 0.059556 |
|
104 | model.layers.14.self_attn.v_proj | 0.131518 | 1,024 | 4,096 | 4 | 4.733695 | -6.06428 | 0.934887 | true | 0.052349 | dense | -5.994823 | -0.440754 | -1.281088 | 64 | 0.362448 | 1,024 | 6 | 960 | 1 | 1.524274 | 0.052349 | 6.92363 | success | 0.2288 | 0.000001 | 960 | 0.052349 | 0.021353 |
|
105 | model.layers.15.mlp.down_proj | 0.171227 | 4,096 | 14,336 | 3.5 | 1.99487 | -0.556694 | 1.252345 | true | 0.525941 | dense | -0.042527 | 0.516673 | -0.279063 | 64 | 3.28604 | 4,096 | 16 | 4,032 | 1 | 0.248718 | 0.525941 | 6.247919 | success | 0.725218 | 0.000002 | over-trained | 4,032 | 0.525941 | 0.056064 |
106 | model.layers.15.mlp.gate_proj | 0.119746 | 4,096 | 14,336 | 3.5 | 2.603469 | 0.808726 | 1.200097 | true | 2.04472 | dense | 0.959656 | 0.914757 | 0.310634 | 64 | 8.217831 | 4,096 | 9 | 4,032 | 1 | 0.53449 | 2.04472 | 4.019049 | success | 1.429937 | 0.000003 | 4,032 | 2.04472 | 0.336225 |
|
107 | model.layers.15.mlp.up_proj | 0.147782 | 4,096 | 14,336 | 3.5 | 3.05811 | -0.096554 | 1.254071 | true | 0.92988 | dense | 0.227045 | 0.797362 | -0.031573 | 64 | 6.271364 | 4,096 | 12 | 4,032 | 1 | 0.594125 | 0.92988 | 6.744273 | success | 0.964303 | 0.000003 | 4,032 | 0.92988 | 0.251676 |
|
108 | model.layers.15.self_attn.k_proj | 0.163836 | 1,024 | 4,096 | 4 | 1.713777 | -1.625523 | 0.928907 | true | 0.112589 | dense | -1.161297 | -0.166777 | -0.948503 | 64 | 0.68112 | 1,024 | 24 | 960 | 1 | 0.145699 | 0.112589 | 6.049599 | success | 0.335543 | 0.000001 | over-trained | 960 | 0.112589 | 0.00327 |
109 | model.layers.15.self_attn.o_proj | 0.157265 | 4,096 | 4,096 | 1 | 8.975181 | -7.85196 | 1.30193 | true | 0.133397 | dense | -7.763737 | 0.078522 | -0.874853 | 64 | 1.198179 | 4,096 | 5 | 4,032 | 1 | 3.56661 | 0.133397 | 8.982023 | success | 0.365236 | 0 | under-trained | 4,032 | 0.133397 | 0.089839 |
110 | model.layers.15.self_attn.q_proj | 0.082726 | 4,096 | 4,096 | 1 | 2.323039 | -0.420482 | 1.21887 | true | 0.659166 | dense | -0.304926 | 0.340136 | -0.181005 | 64 | 2.188446 | 4,096 | 10 | 4,032 | 1 | 0.418382 | 0.659166 | 3.320023 | success | 0.81189 | 0 | 4,032 | 0.659166 | 0.060314 |
|
111 | model.layers.15.self_attn.v_proj | 0.139696 | 1,024 | 4,096 | 4 | 5.781924 | -8.355104 | 0.947199 | true | 0.035889 | dense | -8.245389 | -0.485453 | -1.445039 | 64 | 0.326999 | 1,024 | 7 | 960 | 1 | 1.807397 | 0.035889 | 9.111416 | success | 0.189444 | 0.000001 | 960 | 0.035889 | 0.017794 |
|
112 | model.layers.16.mlp.down_proj | 0.102523 | 4,096 | 14,336 | 3.5 | 2.874258 | -0.30288 | 1.235517 | true | 0.784555 | dense | -0.173643 | 0.533015 | -0.105377 | 64 | 3.412051 | 4,096 | 7 | 4,032 | 1 | 0.708403 | 0.784555 | 4.349028 | success | 0.885751 | 0.000002 | 4,032 | 0.784555 | 0.172833 |
|
113 | model.layers.16.mlp.gate_proj | 0.123873 | 4,096 | 14,336 | 3.5 | 3.09891 | 1.062916 | 1.195146 | true | 2.20291 | dense | 1.147086 | 0.929532 | 0.342997 | 64 | 8.502209 | 4,096 | 6 | 4,032 | 1 | 0.856877 | 2.20291 | 3.859535 | success | 1.484221 | 0.000003 | 4,032 | 2.20291 | 0.525521 |
|
114 | model.layers.16.mlp.up_proj | 0.169814 | 4,096 | 14,336 | 3.5 | 3.818406 | -0.336112 | 1.252713 | true | 0.816537 | dense | 0.045831 | 0.797702 | -0.088024 | 64 | 6.276278 | 4,096 | 8 | 4,032 | 1 | 0.996457 | 0.816537 | 7.686459 | success | 0.903624 | 0.000003 | 4,032 | 0.816537 | 0.360256 |
|
115 | model.layers.16.self_attn.k_proj | 0.111774 | 1,024 | 4,096 | 4 | 1.834971 | -1.671906 | 0.905654 | true | 0.122706 | dense | -1.235767 | -0.158247 | -0.911135 | 64 | 0.694629 | 1,024 | 17 | 960 | 1 | 0.20251 | 0.122706 | 5.660932 | success | 0.350294 | 0.000001 | over-trained | 960 | 0.122706 | 0.006415 |
116 | model.layers.16.self_attn.o_proj | 0.173298 | 4,096 | 4,096 | 1 | 5.412847 | -5.165209 | 1.307261 | true | 0.111109 | dense | -4.66492 | 0.070274 | -0.95425 | 64 | 1.175639 | 4,096 | 8 | 4,032 | 1 | 1.560177 | 0.111109 | 10.580933 | success | 0.33333 | 0 | 4,032 | 0.111109 | 0.068463 |
|
117 | model.layers.16.self_attn.q_proj | 0.121785 | 4,096 | 4,096 | 1 | 2.412913 | -0.405691 | 1.225183 | true | 0.678995 | dense | -0.337676 | 0.330572 | -0.168133 | 64 | 2.140781 | 4,096 | 11 | 4,032 | 1 | 0.426009 | 0.678995 | 3.152866 | success | 0.824012 | 0 | 4,032 | 0.678995 | 0.057183 |
|
118 | model.layers.16.self_attn.v_proj | 0.138603 | 1,024 | 4,096 | 4 | 5.562963 | -7.838267 | 0.931375 | true | 0.038993 | dense | -7.66819 | -0.473419 | -1.409009 | 64 | 0.336187 | 1,024 | 5 | 960 | 1 | 2.040619 | 0.038993 | 8.621655 | success | 0.197467 | 0.000002 | 960 | 0.038993 | 0.02216 |
|
119 | model.layers.17.mlp.down_proj | 0.122398 | 4,096 | 14,336 | 3.5 | 2.266409 | -0.025874 | 1.215847 | true | 0.974056 | dense | 0.131994 | 0.560576 | -0.011416 | 64 | 3.635595 | 4,096 | 12 | 4,032 | 1 | 0.365581 | 0.974056 | 3.732431 | success | 0.986943 | 0.000002 | 4,032 | 0.974056 | 0.092465 |
|
120 | model.layers.17.mlp.gate_proj | 0.170991 | 4,096 | 14,336 | 3.5 | 4.450642 | 1.345386 | 1.209233 | true | 2.005813 | dense | 1.381316 | 0.940736 | 0.30229 | 64 | 8.724406 | 4,096 | 5 | 4,032 | 1 | 1.543174 | 2.005813 | 4.349561 | success | 1.416267 | 0.000003 | 4,032 | 2.005813 | 0.719006 |
|
121 | model.layers.17.mlp.up_proj | 0.142645 | 4,096 | 14,336 | 3.5 | 3.587006 | -0.113954 | 1.249289 | true | 0.929462 | dense | 0.17591 | 0.797667 | -0.031769 | 64 | 6.275765 | 4,096 | 8 | 4,032 | 1 | 0.914645 | 0.929462 | 6.752044 | success | 0.964086 | 0.000003 | 4,032 | 0.929462 | 0.345897 |
|
122 | model.layers.17.self_attn.k_proj | 0.066383 | 1,024 | 4,096 | 4 | 2.068498 | -1.309209 | 0.84157 | true | 0.232848 | dense | -1.199792 | -0.137876 | -0.632927 | 64 | 0.727987 | 1,024 | 15 | 960 | 1 | 0.275885 | 0.232848 | 3.126445 | success | 0.482543 | 0.000001 | 960 | 0.232848 | 0.008742 |
|
123 | model.layers.17.self_attn.o_proj | 0.173403 | 4,096 | 4,096 | 1 | 2.915579 | -2.406947 | 1.299654 | true | 0.149435 | dense | -1.859997 | 0.127951 | -0.825547 | 64 | 1.342613 | 4,096 | 14 | 4,032 | 1 | 0.51196 | 0.149435 | 8.984578 | success | 0.386569 | 0 | 4,032 | 0.149435 | 0.046568 |
|
124 | model.layers.17.self_attn.q_proj | 0.098829 | 4,096 | 4,096 | 1 | 2.25746 | -0.652985 | 1.236042 | true | 0.51374 | dense | -0.42149 | 0.319594 | -0.289256 | 64 | 2.087345 | 4,096 | 13 | 4,032 | 1 | 0.348757 | 0.51374 | 4.063035 | success | 0.716757 | 0 | 4,032 | 0.51374 | 0.044559 |
|
125 | model.layers.17.self_attn.v_proj | 0.150562 | 1,024 | 4,096 | 4 | 3.044586 | -4.463512 | 0.943646 | true | 0.034194 | dense | -3.898037 | -0.449787 | -1.466049 | 64 | 0.354987 | 1,024 | 15 | 960 | 1 | 0.52791 | 0.034194 | 10.381537 | success | 0.184916 | 0.000001 | 960 | 0.034194 | 0.010664 |
|
126 | model.layers.18.mlp.down_proj | 0.101494 | 4,096 | 14,336 | 3.5 | 2.655248 | -0.433637 | 1.247586 | true | 0.686573 | dense | -0.172236 | 0.549447 | -0.163313 | 64 | 3.543616 | 4,096 | 13 | 4,032 | 1 | 0.459083 | 0.686573 | 5.161307 | success | 0.828597 | 0.000002 | 4,032 | 0.686573 | 0.109767 |
|
127 | model.layers.18.mlp.gate_proj | 0.106351 | 4,096 | 14,336 | 3.5 | 2.48854 | 0.980212 | 1.177173 | true | 2.476798 | dense | 1.112914 | 0.938791 | 0.393891 | 64 | 8.685427 | 4,096 | 9 | 4,032 | 1 | 0.49618 | 2.476798 | 3.506715 | success | 1.573785 | 0.000003 | 4,032 | 2.476798 | 0.325471 |
|
128 | model.layers.18.mlp.up_proj | 0.159954 | 4,096 | 14,336 | 3.5 | 3.164737 | 0.089185 | 1.247528 | true | 1.06704 | dense | 0.400486 | 0.847518 | 0.028181 | 64 | 7.03912 | 4,096 | 11 | 4,032 | 1 | 0.652693 | 1.06704 | 6.596863 | success | 1.032977 | 0.000003 | 4,032 | 1.06704 | 0.302959 |
|
129 | model.layers.18.self_attn.k_proj | 0.098069 | 1,024 | 4,096 | 4 | 2.073608 | -1.889186 | 0.911503 | true | 0.122726 | dense | -1.558499 | -0.179031 | -0.911062 | 64 | 0.66217 | 1,024 | 15 | 960 | 1 | 0.277204 | 0.122726 | 5.395501 | success | 0.350323 | 0.000001 | 960 | 0.122726 | 0.009846 |
|
130 | model.layers.18.self_attn.o_proj | 0.126288 | 4,096 | 4,096 | 1 | 3.261624 | -2.498722 | 1.288925 | true | 0.171357 | dense | -2.095774 | 0.126366 | -0.766097 | 64 | 1.337722 | 4,096 | 13 | 4,032 | 1 | 0.627262 | 0.171357 | 7.806625 | success | 0.413953 | 0 | 4,032 | 0.171357 | 0.051503 |
|
131 | model.layers.18.self_attn.q_proj | 0.125804 | 4,096 | 4,096 | 1 | 2.773273 | -0.795442 | 1.264608 | true | 0.516625 | dense | -0.659577 | 0.356131 | -0.286824 | 64 | 2.27055 | 4,096 | 7 | 4,032 | 1 | 0.670234 | 0.516625 | 4.394965 | success | 0.718767 | 0 | 4,032 | 0.516625 | 0.106271 |
|
132 | model.layers.18.self_attn.v_proj | 0.132688 | 1,024 | 4,096 | 4 | 3.232591 | -4.593876 | 0.934964 | true | 0.037922 | dense | -4.118278 | -0.455066 | -1.421113 | 64 | 0.350699 | 1,024 | 12 | 960 | 1 | 0.644494 | 0.037922 | 9.247979 | success | 0.194735 | 0.000002 | 960 | 0.037922 | 0.012452 |
|
133 | model.layers.19.mlp.down_proj | 0.110463 | 4,096 | 14,336 | 3.5 | 3.511398 | -0.302393 | 1.248383 | true | 0.820129 | dense | -0.222282 | 0.594121 | -0.086118 | 64 | 3.927545 | 4,096 | 7 | 4,032 | 1 | 0.949219 | 0.820129 | 4.788933 | success | 0.90561 | 0.000002 | 4,032 | 0.820129 | 0.219565 |
|
134 | model.layers.19.mlp.gate_proj | 0.127735 | 4,096 | 14,336 | 3.5 | 1.961178 | 0.908702 | 1.169757 | true | 2.906329 | dense | 1.083771 | 0.975006 | 0.463345 | 64 | 9.440733 | 4,096 | 16 | 4,032 | 1 | 0.240295 | 2.906329 | 3.248336 | success | 1.704796 | 0.000003 | over-trained | 4,032 | 2.906329 | 0.133207 |
135 | model.layers.19.mlp.up_proj | 0.108822 | 4,096 | 14,336 | 3.5 | 2.994149 | 0.269234 | 1.238254 | true | 1.230042 | dense | 0.50501 | 0.838824 | 0.08992 | 64 | 6.8996 | 4,096 | 11 | 4,032 | 1 | 0.601259 | 1.230042 | 5.60924 | success | 1.109073 | 0.000003 | 4,032 | 1.230042 | 0.28134 |
|
136 | model.layers.19.self_attn.k_proj | 0.122538 | 1,024 | 4,096 | 4 | 2.111212 | -2.244048 | 0.938762 | true | 0.086513 | dense | -1.79674 | -0.220276 | -1.062919 | 64 | 0.602177 | 1,024 | 16 | 960 | 1 | 0.277803 | 0.086513 | 6.960551 | success | 0.294131 | 0.000001 | 960 | 0.086513 | 0.009454 |
|
137 | model.layers.19.self_attn.o_proj | 0.149104 | 4,096 | 4,096 | 1 | 7.248808 | -5.496727 | 1.294596 | true | 0.174464 | dense | -5.382581 | 0.184012 | -0.758294 | 64 | 1.527606 | 4,096 | 5 | 4,032 | 1 | 2.794552 | 0.174464 | 8.755992 | success | 0.417689 | 0 | under-trained | 4,032 | 0.174464 | 0.108327 |
138 | model.layers.19.self_attn.q_proj | 0.14307 | 4,096 | 4,096 | 1 | 2.332933 | -1.245261 | 1.28701 | true | 0.292567 | dense | -0.803735 | 0.276818 | -0.533775 | 64 | 1.891552 | 4,096 | 14 | 4,032 | 1 | 0.356241 | 0.292567 | 6.465368 | success | 0.540894 | 0 | 4,032 | 0.292567 | 0.046604 |
|
139 | model.layers.19.self_attn.v_proj | 0.178021 | 1,024 | 4,096 | 4 | 2.471091 | -3.390252 | 0.931619 | true | 0.042465 | dense | -2.789483 | -0.390873 | -1.371966 | 64 | 0.406562 | 1,024 | 16 | 960 | 1 | 0.367773 | 0.042465 | 9.573986 | success | 0.206071 | 0.000002 | 960 | 0.042465 | 0.009732 |
|
140 | model.layers.20.mlp.down_proj | 0.134991 | 4,096 | 14,336 | 3.5 | 3.565723 | -0.706781 | 1.259107 | true | 0.633555 | dense | -0.43203 | 0.615181 | -0.198215 | 64 | 4.122694 | 4,096 | 8 | 4,032 | 1 | 0.90712 | 0.633555 | 6.507235 | success | 0.795962 | 0.000002 | 4,032 | 0.633555 | 0.221898 |
|
141 | model.layers.20.mlp.gate_proj | 0.119756 | 4,096 | 14,336 | 3.5 | 2.5688 | 1.073327 | 1.184726 | true | 2.61717 | dense | 1.217209 | 0.990694 | 0.417832 | 64 | 9.787998 | 4,096 | 8 | 4,032 | 1 | 0.554655 | 2.61717 | 3.739917 | success | 1.617767 | 0.000003 | 4,032 | 2.61717 | 0.418332 |
|
142 | model.layers.20.mlp.up_proj | 0.095826 | 4,096 | 14,336 | 3.5 | 3.658596 | 0.321758 | 1.244753 | true | 1.224463 | dense | 0.472281 | 0.852261 | 0.087946 | 64 | 7.116415 | 4,096 | 9 | 4,032 | 1 | 0.886199 | 1.224463 | 5.811864 | success | 1.106555 | 0.000003 | 4,032 | 1.224463 | 0.360461 |
|
143 | model.layers.20.self_attn.k_proj | 0.098899 | 1,024 | 4,096 | 4 | 2.026788 | -1.852291 | 0.896916 | true | 0.121926 | dense | -1.477753 | -0.171408 | -0.913905 | 64 | 0.673895 | 1,024 | 15 | 960 | 1 | 0.265115 | 0.121926 | 5.527092 | success | 0.349179 | 0.000001 | 960 | 0.121926 | 0.009882 |
|
144 | model.layers.20.self_attn.o_proj | 0.178187 | 4,096 | 4,096 | 1 | 2.849758 | -2.2384 | 1.289553 | true | 0.163881 | dense | -1.477618 | 0.24374 | -0.78547 | 64 | 1.752832 | 4,096 | 16 | 4,032 | 1 | 0.46244 | 0.163881 | 10.69573 | success | 0.404823 | 0 | 4,032 | 0.163881 | 0.056486 |
|
145 | model.layers.20.self_attn.q_proj | 0.111037 | 4,096 | 4,096 | 1 | 1.913623 | -0.521249 | 1.230252 | true | 0.534086 | dense | -0.216707 | 0.34908 | -0.272389 | 64 | 2.233985 | 4,096 | 17 | 4,032 | 1 | 0.221586 | 0.534086 | 4.182818 | success | 0.730812 | 0 | over-trained | 4,032 | 0.534086 | 0.026308 |
146 | model.layers.20.self_attn.v_proj | 0.148586 | 1,024 | 4,096 | 4 | 4.596109 | -5.818303 | 0.928441 | true | 0.05421 | dense | -5.626064 | -0.359667 | -1.265919 | 64 | 0.436851 | 1,024 | 7 | 960 | 1 | 1.359201 | 0.05421 | 8.058464 | success | 0.232831 | 0.000001 | 960 | 0.05421 | 0.024016 |
|
147 | model.layers.21.mlp.down_proj | 0.08553 | 4,096 | 14,336 | 3.5 | 3.078118 | -0.055919 | 1.243093 | true | 0.959033 | dense | 0.033383 | 0.633628 | -0.018167 | 64 | 4.301581 | 4,096 | 12 | 4,032 | 1 | 0.599901 | 0.959033 | 4.485334 | success | 0.979302 | 0.000002 | 4,032 | 0.959033 | 0.15947 |
|
148 | model.layers.21.mlp.gate_proj | 0.096828 | 4,096 | 14,336 | 3.5 | 2.392283 | 1.333604 | 1.153122 | true | 3.609612 | dense | 1.40454 | 1.013426 | 0.557461 | 64 | 10.31398 | 4,096 | 10 | 4,032 | 1 | 0.440279 | 3.609612 | 2.857366 | success | 1.899898 | 0.000003 | 4,032 | 3.609612 | 0.308915 |
|
149 | model.layers.21.mlp.up_proj | 0.113977 | 4,096 | 14,336 | 3.5 | 3.603669 | 0.171321 | 1.250966 | true | 1.115683 | dense | 0.381532 | 0.86402 | 0.047541 | 64 | 7.311728 | 4,096 | 11 | 4,032 | 1 | 0.785036 | 1.115683 | 6.55359 | success | 1.056259 | 0.000003 | 4,032 | 1.115683 | 0.334261 |
|
150 | model.layers.21.self_attn.k_proj | 0.114759 | 1,024 | 4,096 | 4 | 2.784642 | -2.1044 | 0.882703 | true | 0.175503 | dense | -2.028877 | -0.149946 | -0.755717 | 64 | 0.708033 | 1,024 | 7 | 960 | 1 | 0.674531 | 0.175503 | 4.034318 | success | 0.41893 | 0.000001 | 960 | 0.175503 | 0.029547 |
|
151 | model.layers.21.self_attn.o_proj | 0.157227 | 4,096 | 4,096 | 1 | 3.486824 | -2.135264 | 1.277466 | true | 0.244129 | dense | -1.671439 | 0.315967 | -0.612381 | 64 | 2.069983 | 4,096 | 12 | 4,032 | 1 | 0.717884 | 0.244129 | 8.479059 | success | 0.494094 | 0 | 4,032 | 0.244129 | 0.088636 |
|
152 | model.layers.21.self_attn.q_proj | 0.106511 | 4,096 | 4,096 | 1 | 1.895087 | -0.546699 | 1.228855 | true | 0.514657 | dense | -0.166783 | 0.36995 | -0.288482 | 64 | 2.343957 | 4,096 | 17 | 4,032 | 1 | 0.217091 | 0.514657 | 4.554405 | success | 0.717396 | 0 | over-trained | 4,032 | 0.514657 | 0.027371 |
153 | model.layers.21.self_attn.v_proj | 0.106714 | 1,024 | 4,096 | 4 | 3.907415 | -4.144983 | 0.897303 | true | 0.086936 | dense | -4.059772 | -0.29554 | -1.060799 | 64 | 0.506361 | 1,024 | 7 | 960 | 1 | 1.0989 | 0.086936 | 5.82451 | success | 0.29485 | 0.000002 | 960 | 0.086936 | 0.027748 |
|
154 | model.layers.22.mlp.down_proj | 0.097275 | 4,096 | 14,336 | 3.5 | 2.915156 | -0.008983 | 1.239602 | true | 0.99293 | dense | 0.115465 | 0.659474 | -0.003081 | 64 | 4.565351 | 4,096 | 12 | 4,032 | 1 | 0.552858 | 0.99293 | 4.597859 | success | 0.996459 | 0.000002 | 4,032 | 0.99293 | 0.16519 |
|
155 | model.layers.22.mlp.gate_proj | 0.107711 | 4,096 | 14,336 | 3.5 | 2.556583 | 1.199422 | 1.180395 | true | 2.945442 | dense | 1.308265 | 1.013382 | 0.46915 | 64 | 10.312928 | 4,096 | 9 | 4,032 | 1 | 0.518861 | 2.945442 | 3.501318 | success | 1.716229 | 0.000003 | 4,032 | 2.945442 | 0.398624 |
|
156 | model.layers.22.mlp.up_proj | 0.108296 | 4,096 | 14,336 | 3.5 | 4.117817 | 0.294864 | 1.249735 | true | 1.179253 | dense | 0.416071 | 0.865351 | 0.071607 | 64 | 7.334171 | 4,096 | 8 | 4,032 | 1 | 1.102315 | 1.179253 | 6.219338 | success | 1.085934 | 0.000003 | 4,032 | 1.179253 | 0.402714 |
|
157 | model.layers.22.self_attn.k_proj | 0.096766 | 1,024 | 4,096 | 4 | 2.003269 | -1.510586 | 0.867858 | true | 0.176173 | dense | -1.277648 | -0.133088 | -0.75406 | 64 | 0.736057 | 1,024 | 17 | 960 | 1 | 0.243329 | 0.176173 | 4.178032 | success | 0.41973 | 0.000001 | 960 | 0.176173 | 0.008595 |
|
158 | model.layers.22.self_attn.o_proj | 0.119607 | 4,096 | 4,096 | 1 | 2.752449 | -1.171055 | 1.259424 | true | 0.37544 | dense | -0.918232 | 0.33078 | -0.425459 | 64 | 2.141805 | 4,096 | 13 | 4,032 | 1 | 0.486042 | 0.37544 | 5.704785 | success | 0.612732 | 0 | 4,032 | 0.37544 | 0.071729 |
|
159 | model.layers.22.self_attn.q_proj | 0.092778 | 4,096 | 4,096 | 1 | 1.908004 | -0.094512 | 1.160549 | true | 0.892206 | dense | 0.113221 | 0.438026 | -0.049535 | 64 | 2.741739 | 4,096 | 17 | 4,032 | 1 | 0.220223 | 0.892206 | 3.072987 | success | 0.944567 | 0 | over-trained | 4,032 | 0.892206 | 0.026006 |
160 | model.layers.22.self_attn.v_proj | 0.126951 | 1,024 | 4,096 | 4 | 2.984884 | -3.636414 | 0.918914 | true | 0.060496 | dense | -3.230496 | -0.317237 | -1.218277 | 64 | 0.481685 | 1,024 | 12 | 960 | 1 | 0.572987 | 0.060496 | 7.962322 | success | 0.245958 | 0.000001 | 960 | 0.060496 | 0.016329 |
|
161 | model.layers.23.mlp.down_proj | 0.136955 | 4,096 | 14,336 | 3.5 | 2.609137 | -0.380544 | 1.251473 | true | 0.714742 | dense | 0.008604 | 0.652099 | -0.145851 | 64 | 4.488472 | 4,096 | 14 | 4,032 | 1 | 0.43006 | 0.714742 | 6.279848 | success | 0.845424 | 0.000002 | 4,032 | 0.714742 | 0.135923 |
|
162 | model.layers.23.mlp.gate_proj | 0.088552 | 4,096 | 14,336 | 3.5 | 2.535329 | 1.299763 | 1.171325 | true | 3.255821 | dense | 1.373304 | 1.011178 | 0.51266 | 64 | 10.260735 | 4,096 | 11 | 4,032 | 1 | 0.462919 | 3.255821 | 3.151505 | success | 1.804389 | 0.000003 | 4,032 | 3.255821 | 0.323447 |
|
163 | model.layers.23.mlp.up_proj | 0.085237 | 4,096 | 14,336 | 3.5 | 3.113806 | 0.239665 | 1.24443 | true | 1.193902 | dense | 0.515589 | 0.874181 | 0.076969 | 64 | 7.484814 | 4,096 | 13 | 4,032 | 1 | 0.586264 | 1.193902 | 6.269203 | success | 1.092658 | 0.000003 | 4,032 | 1.193902 | 0.286408 |
|
164 | model.layers.23.self_attn.k_proj | 0.120284 | 1,024 | 4,096 | 4 | 2.633858 | -2.190326 | 0.895238 | true | 0.147366 | dense | -2.016153 | -0.143303 | -0.831603 | 64 | 0.718948 | 1,024 | 8 | 960 | 1 | 0.577656 | 0.147366 | 4.878661 | success | 0.383882 | 0.000002 | 960 | 0.147366 | 0.026898 |
|
165 | model.layers.23.self_attn.o_proj | 0.128474 | 4,096 | 4,096 | 1 | 2.745961 | -1.412795 | 1.268655 | true | 0.305845 | dense | -1.036763 | 0.311847 | -0.514499 | 64 | 2.050442 | 4,096 | 14 | 4,032 | 1 | 0.466628 | 0.305845 | 6.704193 | success | 0.553032 | 0 | 4,032 | 0.305845 | 0.065993 |
|
166 | model.layers.23.self_attn.q_proj | 0.143367 | 4,096 | 4,096 | 1 | 2.07931 | -0.900177 | 1.273627 | true | 0.369045 | dense | -0.434673 | 0.361771 | -0.432921 | 64 | 2.30023 | 4,096 | 16 | 4,032 | 1 | 0.269828 | 0.369045 | 6.232928 | success | 0.607491 | 0 | 4,032 | 0.369045 | 0.042263 |
|
167 | model.layers.23.self_attn.v_proj | 0.120516 | 1,024 | 4,096 | 4 | 2.162317 | -2.288699 | 0.890689 | true | 0.087408 | dense | -1.878025 | -0.269086 | -1.058448 | 64 | 0.538163 | 1,024 | 14 | 960 | 1 | 0.310642 | 0.087408 | 6.156888 | success | 0.295649 | 0.000002 | 960 | 0.087408 | 0.010531 |
|
168 | model.layers.24.mlp.down_proj | 0.120728 | 4,096 | 14,336 | 3.5 | 3.102945 | -0.002051 | 1.243654 | true | 0.998479 | dense | 0.07713 | 0.649114 | -0.000661 | 64 | 4.457737 | 4,096 | 11 | 4,032 | 1 | 0.634062 | 0.998479 | 4.464528 | success | 0.999239 | 0.000002 | 4,032 | 0.998479 | 0.175398 |
|
169 | model.layers.24.mlp.gate_proj | 0.093973 | 4,096 | 14,336 | 3.5 | 2.316717 | 1.206078 | 1.172482 | true | 3.315872 | dense | 1.306348 | 1.022437 | 0.520598 | 64 | 10.530208 | 4,096 | 12 | 4,032 | 1 | 0.380103 | 3.315872 | 3.175698 | success | 1.820954 | 0.000002 | 4,032 | 3.315872 | 0.271317 |
|
170 | model.layers.24.mlp.up_proj | 0.118981 | 4,096 | 14,336 | 3.5 | 3.208384 | -0.029564 | 1.256468 | true | 0.979006 | dense | 0.336656 | 0.866081 | -0.009215 | 64 | 7.346503 | 4,096 | 14 | 4,032 | 1 | 0.590215 | 0.979006 | 7.504043 | success | 0.989447 | 0.000003 | 4,032 | 0.979006 | 0.281906 |
|
171 | model.layers.24.self_attn.k_proj | 0.137641 | 1,024 | 4,096 | 4 | 1.972477 | -1.812983 | 0.88751 | true | 0.120465 | dense | -1.39476 | -0.174501 | -0.91914 | 64 | 0.669113 | 1,024 | 17 | 960 | 1 | 0.23586 | 0.120465 | 5.554427 | success | 0.34708 | 0.000002 | over-trained | 960 | 0.120465 | 0.008152 |
172 | model.layers.24.self_attn.o_proj | 0.121796 | 4,096 | 4,096 | 1 | 3.490741 | -1.735558 | 1.274527 | true | 0.318281 | dense | -1.516867 | 0.332335 | -0.497189 | 64 | 2.149487 | 4,096 | 11 | 4,032 | 1 | 0.750987 | 0.318281 | 6.75342 | success | 0.564164 | 0 | 4,032 | 0.318281 | 0.095662 |
|
173 | model.layers.24.self_attn.q_proj | 0.116849 | 4,096 | 4,096 | 1 | 2.127018 | -0.363221 | 1.21705 | true | 0.674892 | dense | -0.170545 | 0.39306 | -0.170765 | 64 | 2.472066 | 4,096 | 11 | 4,032 | 1 | 0.339809 | 0.674892 | 3.662903 | success | 0.821518 | 0 | 4,032 | 0.674892 | 0.057734 |
|
174 | model.layers.24.self_attn.v_proj | 0.129029 | 1,024 | 4,096 | 4 | 2.129922 | -2.279681 | 0.892357 | true | 0.085053 | dense | -1.850581 | -0.275046 | -1.070312 | 64 | 0.530828 | 1,024 | 16 | 960 | 1 | 0.282481 | 0.085053 | 6.241163 | success | 0.291638 | 0.000002 | 960 | 0.085053 | 0.009003 |
|
175 | model.layers.25.mlp.down_proj | 0.105713 | 4,096 | 14,336 | 3.5 | 2.85188 | -0.323161 | 1.255649 | true | 0.770344 | dense | -0.07539 | 0.646843 | -0.113315 | 64 | 4.434486 | 4,096 | 13 | 4,032 | 1 | 0.513619 | 0.770344 | 5.756498 | success | 0.877693 | 0.000002 | 4,032 | 0.770344 | 0.154021 |
|
176 | model.layers.25.mlp.gate_proj | 0.069561 | 4,096 | 14,336 | 3.5 | 2.350949 | 1.589706 | 1.109686 | true | 4.744578 | dense | 1.611528 | 1.019893 | 0.676198 | 64 | 10.468697 | 4,096 | 14 | 4,032 | 1 | 0.361056 | 4.744578 | 2.206455 | success | 2.178205 | 0.000003 | 4,032 | 4.744578 | 0.206881 |
|
177 | model.layers.25.mlp.up_proj | 0.15032 | 4,096 | 14,336 | 3.5 | 5.763207 | 0.004806 | 1.254436 | true | 1.001922 | dense | 0.112287 | 0.861523 | 0.000834 | 64 | 7.269807 | 4,096 | 5 | 4,032 | 1 | 2.130171 | 1.001922 | 7.255862 | success | 1.00096 | 0.000003 | 4,032 | 1.001922 | 0.533466 |
|
178 | model.layers.25.self_attn.k_proj | 0.144007 | 1,024 | 4,096 | 4 | 1.998126 | -2.03634 | 0.914757 | true | 0.095692 | dense | -1.625756 | -0.233395 | -1.019125 | 64 | 0.584258 | 1,024 | 17 | 960 | 1 | 0.242081 | 0.095692 | 6.105623 | success | 0.309341 | 0.000001 | over-trained | 960 | 0.095692 | 0.007753 |
179 | model.layers.25.self_attn.o_proj | 0.093961 | 4,096 | 4,096 | 1 | 3.637802 | -1.868067 | 1.274864 | true | 0.306538 | dense | -1.728484 | 0.25656 | -0.513515 | 64 | 1.805345 | 4,096 | 9 | 4,032 | 1 | 0.879267 | 0.306538 | 5.889459 | success | 0.553659 | 0 | 4,032 | 0.306538 | 0.088987 |
|
180 | model.layers.25.self_attn.q_proj | 0.086197 | 4,096 | 4,096 | 1 | 1.80462 | -0.095304 | 1.152994 | true | 0.885501 | dense | 0.063364 | 0.382037 | -0.052811 | 64 | 2.410109 | 4,096 | 17 | 4,032 | 1 | 0.195149 | 0.885501 | 2.721746 | success | 0.941011 | 0 | over-trained | 4,032 | 0.885501 | 0.019111 |
181 | model.layers.25.self_attn.v_proj | 0.090123 | 1,024 | 4,096 | 4 | 2.294557 | -2.036341 | 0.869857 | true | 0.129579 | dense | -1.905706 | -0.294062 | -0.887466 | 64 | 0.508087 | 1,024 | 13 | 960 | 1 | 0.359045 | 0.129579 | 3.921064 | success | 0.359971 | 0.000001 | 960 | 0.129579 | 0.010466 |
|
182 | model.layers.26.mlp.down_proj | 0.120553 | 4,096 | 14,336 | 3.5 | 2.723654 | -0.262714 | 1.251983 | true | 0.800836 | dense | 0.015633 | 0.663817 | -0.096457 | 64 | 4.61123 | 4,096 | 11 | 4,032 | 1 | 0.519701 | 0.800836 | 5.758023 | success | 0.894894 | 0.000002 | 4,032 | 0.800836 | 0.171132 |
|
183 | model.layers.26.mlp.gate_proj | 0.091337 | 4,096 | 14,336 | 3.5 | 2.344174 | 1.351013 | 1.151821 | true | 3.769882 | dense | 1.414824 | 1.020362 | 0.576328 | 64 | 10.480022 | 4,096 | 13 | 4,032 | 1 | 0.372807 | 3.769882 | 2.779934 | success | 1.941618 | 0.000003 | 4,032 | 3.769882 | 0.244311 |
|
184 | model.layers.26.mlp.up_proj | 0.086812 | 4,096 | 14,336 | 3.5 | 4.392035 | 0.242671 | 1.251431 | true | 1.135671 | dense | 0.37363 | 0.87386 | 0.055253 | 64 | 7.479284 | 4,096 | 8 | 4,032 | 1 | 1.199265 | 1.135671 | 6.585783 | success | 1.065679 | 0.000003 | 4,032 | 1.135671 | 0.433704 |
|
185 | model.layers.26.self_attn.k_proj | 0.106872 | 1,024 | 4,096 | 4 | 2.051858 | -1.892762 | 0.875378 | true | 0.119547 | dense | -1.512787 | -0.200754 | -0.922463 | 64 | 0.629864 | 1,024 | 13 | 960 | 1 | 0.291733 | 0.119547 | 5.268767 | success | 0.345755 | 0.000002 | 960 | 0.119547 | 0.010768 |
|
186 | model.layers.26.self_attn.o_proj | 0.134184 | 4,096 | 4,096 | 1 | 2.441189 | -1.539896 | 1.275169 | true | 0.233993 | dense | -0.939815 | 0.274651 | -0.630798 | 64 | 1.882136 | 4,096 | 15 | 4,032 | 1 | 0.372113 | 0.233993 | 8.04357 | success | 0.483728 | 0 | 4,032 | 0.233993 | 0.050972 |
|
187 | model.layers.26.self_attn.q_proj | 0.098903 | 4,096 | 4,096 | 1 | 1.94625 | -0.172653 | 1.172286 | true | 0.815248 | dense | 0.02072 | 0.408872 | -0.088711 | 64 | 2.563731 | 4,096 | 13 | 4,032 | 1 | 0.262442 | 0.815248 | 3.144727 | success | 0.902911 | 0 | over-trained | 4,032 | 0.815248 | 0.037628 |
188 | model.layers.26.self_attn.v_proj | 0.177327 | 1,024 | 4,096 | 4 | 2.084277 | -2.452292 | 0.921592 | true | 0.066594 | dense | -1.958116 | -0.316788 | -1.176567 | 64 | 0.482183 | 1,024 | 18 | 960 | 1 | 0.255566 | 0.066594 | 7.240673 | success | 0.258057 | 0.000002 | 960 | 0.066594 | 0.00719 |
|
189 | model.layers.27.mlp.down_proj | 0.086935 | 4,096 | 14,336 | 3.5 | 3.157849 | 0.028879 | 1.237124 | true | 1.021281 | dense | 0.10386 | 0.642767 | 0.009145 | 64 | 4.393056 | 4,096 | 9 | 4,032 | 1 | 0.719283 | 1.021281 | 4.301516 | success | 1.010584 | 0.000002 | 4,032 | 1.021281 | 0.199568 |
|
190 | model.layers.27.mlp.gate_proj | 0.084258 | 4,096 | 14,336 | 3.5 | 2.359513 | 1.042495 | 1.188402 | true | 2.765834 | dense | 1.179609 | 0.995663 | 0.441826 | 64 | 9.900623 | 4,096 | 13 | 4,032 | 1 | 0.377061 | 2.765834 | 3.579616 | success | 1.66308 | 0.000003 | 4,032 | 2.765834 | 0.257194 |
|
191 | model.layers.27.mlp.up_proj | 0.11716 | 4,096 | 14,336 | 3.5 | 4.703075 | 0.266932 | 1.251003 | true | 1.139612 | dense | 0.392874 | 0.884432 | 0.056757 | 64 | 7.663578 | 4,096 | 6 | 4,032 | 1 | 1.511774 | 1.139612 | 6.724727 | success | 1.067526 | 0.000003 | 4,032 | 1.139612 | 0.511535 |
|
192 | model.layers.27.self_attn.k_proj | 0.137354 | 1,024 | 4,096 | 4 | 1.939668 | -1.521124 | 0.858189 | true | 0.164354 | dense | -1.267935 | -0.15881 | -0.784219 | 64 | 0.693729 | 1,024 | 16 | 960 | 1 | 0.234917 | 0.164354 | 4.220938 | success | 0.405406 | 0.000001 | over-trained | 960 | 0.164354 | 0.008371 |
193 | model.layers.27.self_attn.o_proj | 0.166313 | 4,096 | 4,096 | 1 | 3.98469 | -1.885441 | 1.259974 | true | 0.336379 | dense | -1.686147 | 0.31561 | -0.473171 | 64 | 2.068284 | 4,096 | 6 | 4,032 | 1 | 1.218495 | 0.336379 | 6.148673 | success | 0.579982 | 0 | 4,032 | 0.336379 | 0.139734 |
|
194 | model.layers.27.self_attn.q_proj | 0.098414 | 4,096 | 4,096 | 1 | 2.087291 | -0.006988 | 1.15901 | true | 0.992321 | dense | 0.10856 | 0.438895 | -0.003348 | 64 | 2.747227 | 4,096 | 9 | 4,032 | 1 | 0.36243 | 0.992321 | 2.768487 | success | 0.996153 | 0 | 4,032 | 0.992321 | 0.065965 |
|
195 | model.layers.27.self_attn.v_proj | 0.09186 | 1,024 | 4,096 | 4 | 2.089776 | -2.143677 | 0.886055 | true | 0.094234 | dense | -1.708897 | -0.236603 | -1.025793 | 64 | 0.579959 | 1,024 | 17 | 960 | 1 | 0.26431 | 0.094234 | 6.154463 | success | 0.306975 | 0.000002 | 960 | 0.094234 | 0.008735 |
|
196 | model.layers.28.mlp.down_proj | 0.097772 | 4,096 | 14,336 | 3.5 | 2.722751 | -0.225053 | 1.245679 | true | 0.826692 | dense | -0.029104 | 0.609328 | -0.082656 | 64 | 4.067506 | 4,096 | 12 | 4,032 | 1 | 0.497315 | 0.826692 | 4.920221 | success | 0.909226 | 0.000002 | 4,032 | 0.826692 | 0.137727 |
|
197 | model.layers.28.mlp.gate_proj | 0.106238 | 4,096 | 14,336 | 3.5 | 2.577398 | 1.451249 | 1.149888 | true | 3.656516 | dense | 1.502734 | 1.011697 | 0.563067 | 64 | 10.272995 | 4,096 | 7 | 4,032 | 1 | 0.5962 | 3.656516 | 2.809504 | success | 1.912202 | 0.000003 | 4,032 | 3.656516 | 0.449288 |
|
198 | model.layers.28.mlp.up_proj | 0.110544 | 4,096 | 14,336 | 3.5 | 3.220158 | 0.687891 | 1.226926 | true | 1.635386 | dense | 0.800185 | 0.888572 | 0.21362 | 64 | 7.73698 | 4,096 | 8 | 4,032 | 1 | 0.784945 | 1.635386 | 4.73098 | success | 1.278822 | 0.000003 | 4,032 | 1.635386 | 0.388154 |
|
199 | model.layers.28.self_attn.k_proj | 0.148201 | 1,024 | 4,096 | 4 | 2.014589 | -2.02633 | 0.901159 | true | 0.098667 | dense | -1.595166 | -0.213194 | -1.005828 | 64 | 0.612077 | 1,024 | 17 | 960 | 1 | 0.246074 | 0.098667 | 6.203452 | success | 0.314113 | 0.000001 | 960 | 0.098667 | 0.008508 |