update readme

README.md

@@ -2,8 +2,9 @@
 license: mit
 datasets:
 - monology/pile-uncopyrighted
-library_name: transformers
 ---
 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.
+The easiest way to use the model is with the [SAE Lens](https://github.com/jbloomAus/SAELens) library. 
+
+Here is the [training repo](https://github.com/tylercosgrove/sparse-autoencoder-mistral7b).