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Sparse Autoencoders (SAEs) are an interpretability tool that allow you to inspect what concepts your LLM is thinking about. Learn more our open-source suite of SAEs on all layers of Gemma 2 2B and 9B, which enables everyone to analyze and steer Gemma’s internals.
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