| license: cc-by-4.0 | |
| library_name: saelens | |
| ⚠️ WARNING: We have small labelling issues, and some SAEs appear twice in this repo. | |
| # 1. Gemma Scope | |
| 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. | |
| See our [landing page](https://huggingface.co/google/gemma-scope) for details on the whole suite. This is a specific set of SAEs: | |
| # 2. What Is `gemma-scope-2b-pt-res`? | |
| - `gemma-scope-`: See 1. | |
| - `2b-pt-`: These SAEs were trained on Gemma v2 2B base model. | |
| - `res`: These SAEs were trained on the model's residual stream. | |
| - We include experimental SAEs trained on token embeddings in the ./embedding folder. | |
| # 3. Which SAE is in the [Neuronpedia demo](https://www.neuronpedia.org/gemma-scope)? | |
| https://huggingface.co/google/gemma-scope-2b-pt-res/tree/main/layer_20/width_16k/average_l0_71 | |
| # 4. Point of Contact | |
| Point of contact: Arthur Conmy | |
| Contact by email: | |
| ```python | |
| ''.join(list('moc.elgoog@ymnoc')[::-1]) | |
| ``` | |
| HuggingFace account: | |
| https://huggingface.co/ArthurConmyGDM | |
| # Citation | |
| Paper: https://arxiv.org/abs/2408.05147 | |