Update README.md

README.md

@@ -1,25 +1,48 @@
 ---
+base_model: EleutherAI/pythia-160m-deduped
 language: en
 library_name: mlsae
 license: mit
 tags:
-  - model_hub_mixin
-  - pytorch_model_hub_mixin
-datasets:
-  - monology/pile-uncopyrighted
+- arxiv:2409.04185
+- model_hub_mixin
+- pytorch_model_hub_mixin
 ---
 
-# mlsae-pythia-160m-deduped-x8-k32-tfm
+# Model Card for tim-lawson/mlsae-pythia-160m-deduped-x8-k32-tfm
 
-A Multi-Layer Sparse Autoencoder (MLSAE) trained on the residual stream
-activation vectors from every layer of
-[EleutherAI/pythia-160m-deduped](https://huggingface.co/EleutherAI/pythia-160m-deduped)
-with an expansion factor of 8 and k = 32, over 1 billion tokens from
-[monology/pile-uncopyrighted](https://huggingface.co/datasets/monology/pile-uncopyrighted).
-This model includes the underlying transformer.
+A Multi-Layer Sparse Autoencoder (MLSAE) trained on the residual stream activation
+vectors from [EleutherAI/pythia-160m-deduped](https://huggingface.co/EleutherAI/pythia-160m-deduped) with an
+expansion factor of R = 8 and sparsity k = 32, over 1 billion
+tokens from [monology/pile-uncopyrighted](https://huggingface.co/datasets/monology/pile-uncopyrighted).
 
-For more details, see:
 
-- Paper: <https://arxiv.org/abs/2409.04185>
-- GitHub repository: <https://github.com/tim-lawson/mlsae>
-- Weights & Biases project: <https://wandb.ai/timlawson-/mlsae>
+This model is a PyTorch Lightning MLSAETransformer module, which includes the underlying
+transformer.
+
+  
+### Model Sources
+
+- **Repository:** <https://github.com/tim-lawson/mlsae>
+- **Paper:** <https://arxiv.org/abs/2409.04185>
+- **Weights & Biases:** <https://wandb.ai/timlawson-/mlsae>
+
+## Citation
+
+**BibTeX:**
+
+```bibtex
+@misc{lawson_residual_2024,
+  title         = {Residual {{Stream Analysis}} with {{Multi-Layer SAEs}}},
+  author        = {Lawson, Tim and Farnik, Lucy and Houghton, Conor and Aitchison, Laurence},
+  year          = {2024},
+  month         = oct,
+  number        = {arXiv:2409.04185},
+  eprint        = {2409.04185},
+  primaryclass  = {cs},
+  publisher     = {arXiv},
+  doi           = {10.48550/arXiv.2409.04185},
+  urldate       = {2024-10-08},
+  archiveprefix = {arXiv}
+}
+```