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sae-lens · PyPI Training and Analyzing Sparse Autoencoders (SAEs)
Releases · decoderesearch SAELens - GitHub Training Sparse Autoencoders on Language Models Contribute to decoderesearch SAELens development by creating an account on GitHub
GitHub - PKU-Alignment SAELens-V Building on SAELens, we developed SAE-V to facilitate training multi-modal models, such as LLaVA-NeXT and Chameleon Additionally, we created a series of scripts that use SAE-V to support mechanistic interpretability analysis in multi-modal models
SAELens tutorials tutorial_2_0. ipynb at main - GitHub However, we will explain what SAE features are, how to load SAEs into SAELens and find identify features, and how to do steering, ablation, and attribution with them
Wouter Saelens - Google Scholar Wouter Saelens Professor in perturbational systems biology Expert Scientist at VIB Inflammation Research Center Verified email at ugent be Computational biology
https: jbloomaus. github. io SAELens | Ecosyste. ms: Awesome The new v6 update is a major refactor to SAELens and changes the way training code is structured Check out the [migration guide] (https: jbloomaus github io SAELens latest migrating ) for more details