Update README.md

README.md

@@ -2,7 +2,13 @@
 library_name: saelens
 ---
 
-# SAEs for use with the SAELens library
+# Llama-3-8B SAEs (layer 25, Post-MLP Residual Stream)
+
+We train a Gated SAE on the post-MLP residual stream of the 25th layer of [Llama-3-8b-instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) model. The width of SAE hidden dimensions is 65536 (x16). 
+
+The SAE is trained with 500M tokens from the [OpenWebText corpus](https://huggingface.co/datasets/Juliushanhanhan/openwebtext-1b-llama3-tokenized-cxt-1024).
+
+Feature visualizations are hosted at https://www.neuronpedia.org/llama3-8b-it. The wandb run is recorded [here](https://wandb.ai/jiatongg/sae_semantic_entropy/runs/ruuu0izg?nw=nwuserjiatongg).
 
 This repository contains the following SAEs:
 - blocks.25.hook_resid_post
@@ -12,4 +18,4 @@ Load these SAEs using SAELens as below:
 from sae_lens import SAE
 
 sae, cfg_dict, sparsity = SAE.from_pretrained("Juliushanhanhan/llama-3-8b-it-res", "<sae_id>")
-```
+```