Push model using huggingface_hub.

README.md

@@ -1,24 +1,9 @@
 ---
-language: en
-library_name: mlsae
-license: mit
 tags:
-  - model_hub_mixin
-  - pytorch_model_hub_mixin
-datasets:
-  - monology/pile-uncopyrighted
+- model_hub_mixin
+- pytorch_model_hub_mixin
 ---
 
-# mlsae-gpt2-x64-k32
-
-A Multi-Layer Sparse Autoencoder (MLSAE) trained on the residual stream
-activation vectors from every layer of
-[openai-community/gpt2](https://huggingface.co/openai-community/gpt2)
-with an expansion factor of 64 and 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 has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Library: [More Information Needed]
+- Docs: [More Information Needed]