Update README.MD

README.MD

@@ -2,7 +2,7 @@
 
 ![modification demostration](resourses/image.png)
 
-This repository contains code to reproduce results from our paper on using sparse autoencoders (SAEs) to analyze and interpret the internal representations of text-to-image diffusion models, specifically SDXL Turbo.
+This repository contains code to reproduce results from our paper (https://arxiv.org/abs/2410.22366) on using sparse autoencoders (SAEs) to analyze and interpret the internal representations of text-to-image diffusion models, specifically SDXL Turbo.
 
 ## Repository Structure
 
@@ -59,7 +59,15 @@ We provide pretrained SAE checkpoints for 4 key transformer blocks in SDXL Turbo
 If you find this code useful in your research, please cite our paper:
 
 ```bibtex
-[Citation placeholder]
+@misc{surkov2024unpackingsdxlturbointerpreting,
+      title={Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders}, 
+      author={Viacheslav Surkov and Chris Wendler and Mikhail Terekhov and Justin Deschenaux and Robert West and Caglar Gulcehre},
+      year={2024},
+      eprint={2410.22366},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2410.22366}, 
+}
 ```
 
 ## Acknowledgements