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--- |
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license: cc-by-4.0 |
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library_name: saelens |
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--- |
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⚠️ WARNING: We have not done extensive testing with Gemma 2 9B in external infrastructure. Please clearly report bugs. |
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⚠️ WARNING: We are in the process of uploading SAEs of many different sparsities for every (Layer, Width) pair. For now, there is only one sparsity per (Layer, Width) pair. |
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# 1. Gemma Scope |
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Gemma Scope is a comprehensive, open suite of sparse autoencoders for Gemma 2 9B and 2B. Sparse Autoencoders are a "microscope" of sorts that can help us break down a model’s internal activations into the underlying concepts, just as biologists use microscopes to study the individual cells of plants and animals. |
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See our [landing page](https://huggingface.co/google/gemma-scope) for details on the whole suite. This is a specific set of SAEs: |
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# 2. What Is `gemma-scope-9b-pt-mlp`? |
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- `gemma-scope-`: See 1. |
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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. Point of Contact |
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Point of contact: Arthur Conmy |
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Contact by email: |
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```python |
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''.join(list('moc.elgoog@ymnoc')[::-1]) |
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``` |
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HuggingFace account: |
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https://huggingface.co/ArthurConmyGDM |
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