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README.md

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 license: mit
+datasets:
+- monology/pile-uncopyrighted
+library_name: transformers
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 This contains the weights of a sparse autoencoder I trained on the residual activations of [Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1). I used [The Pile (uncopyrighted)](https://huggingface.co/datasets/monology/pile-uncopyrighted) for the training data. As of right now, I have only trained a single SAE (on layer 16), though I may do more in the future.
 
-Here is the associated [GitHub repo](https://github.com/tylercosgrove/sparse-autoencoder-mistral7b) I used to train it, which you can also use to do some crude inference.
+Here is the associated [GitHub repo](https://github.com/tylercosgrove/sparse-autoencoder-mistral7b) I used to train it, which you can also use to do some crude inference.