Update README.md

README.md

@@ -15,7 +15,20 @@ See our [landing page](https://huggingface.co/google/gemma-scope) for details on
 - `2b-pt-`: These SAEs were trained on Gemma v2 2B base model.
 - `att`: These SAEs were trained on the attention layer outputs, before the final linear projection.
 
-## 3. Point of Contact
+# 3. How can I use these SAEs straight away?
+
+```python
+from sae_lens import SAE  # pip install sae-lens
+
+sae, cfg_dict, sparsity = SAE.from_pretrained(
+    release = "gemma-scope-2b-pt-att-canonical",
+    sae_id = "layer_0/width_16k/canonical",
+)
+```
+
+See https://github.com/jbloomAus/SAELens for details on this library.
+
+# 4. Point of Contact
 
 Point of contact: Arthur Conmy
 
@@ -26,4 +39,8 @@ Contact by email:
 ```
 
 HuggingFace account:
-https://huggingface.co/ArthurConmyGDM
+https://huggingface.co/ArthurConmyGDM
+
+# 5. Citation
+
+Paper: https://arxiv.org/abs/2408.05147