Update README.md

README.md

@@ -38,7 +38,7 @@ For instance, an SAE with 8x the hidden size of Llama-3.1-8B, i.e. 32K features,
 
 [**Llama-3.1-8B-LXR-32x**](https://huggingface.co/fnlp/Llama3_1-8B-Base-LXR-32x/tree/main)
 
-[**Llama-3.1-8B-LXA-32x**](https://huggingface.co/fnlp/Llama3_1-8B-Base-LXA-32x/tree/main) (Not recommended, we along with many other mech interp researchers find that LXA SAEs, whether trained on z or attn_out, turn out to have a lot of inactive features. This is much like 'there are not too many features in attention output so we do not expect to see feature splitting here.'. But we are not certain why this is the case.)
+[**Llama-3.1-8B-LXA-32x**](https://huggingface.co/fnlp/Llama3_1-8B-Base-LXA-32x/tree/main) (Not recommended, we along with many other mech interp researchers find that LXA SAEs, whether trained on z or attn_out, turn out to have a lot of inactive features. This is observed both in GPT2-Small (both discovered by @Johnny Lin from neuronpedia.org and us) and Llama 3.1 8B. This is much like 'there are not too many features in attention output so we do not expect to see feature splitting here.'. But we are not certain why this is the case.)
 
 [**Llama-3.1-8B-LXM-32x**](https://huggingface.co/fnlp/Llama3_1-8B-Base-LXM-32x/tree/main)