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---
license: cc-by-4.0
library_name: saelens
---
⚠️ WARNING: We have not done extensive testing with Gemma 2 9B in external infrastructure. Please clearly report bugs.
⚠️ 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.
# 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-9b-pt-mlp`?
- `gemma-scope-`: See 1.
- `9b-pt-`: These SAEs were trained on Gemma v2 9B base model.
- `mlp`: These SAEs were trained on the model's MLP sublayer outputs.
## 3. Point of Contact
Point of contact: Arthur Conmy
Contact by email:
```python
''.join(list('moc.elgoog@ymnoc')[::-1])
```
HuggingFace account:
https://huggingface.co/ArthurConmyGDM
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