ArthurConmyGDM
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Update README.md
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README.md
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@@ -15,7 +15,20 @@ See our [landing page](https://huggingface.co/google/gemma-scope) for details on
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- `9b-pt-`: These SAEs were trained on Gemma v2 9B base model.
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- `mlp`: These SAEs were trained on the model's MLP sublayer outputs.
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Point of contact: Arthur Conmy
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HuggingFace account:
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https://huggingface.co/ArthurConmyGDM
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- `9b-pt-`: These SAEs were trained on Gemma v2 9B base model.
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- `mlp`: These SAEs were trained on the model's MLP sublayer outputs.
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# 3. How can I use these SAEs straight away?
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```python
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from sae_lens import SAE # pip install sae-lens
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sae, cfg_dict, sparsity = SAE.from_pretrained(
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release = "gemma-scope-9b-pt-mlp-canonical",
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sae_id = "layer_0/width_16k/canonical",
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)
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```
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See https://github.com/jbloomAus/SAELens for details on this library.
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# 4. Point of Contact
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Point of contact: Arthur Conmy
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HuggingFace account:
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https://huggingface.co/ArthurConmyGDM
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# 5. Citation
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Paper: https://arxiv.org/abs/2408.05147
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