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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.
Watch more videos from Gemma Developer Day Tokyo → https://goo.gle/gemma-dev-tokyo
Subscribe to Google for Developers → https://goo.gle/developers
#Gemma #GemmaDeveloperDay
Watch more videos from Gemma Developer Day Tokyo → https://goo.gle/gemma-dev-tokyo
Subscribe to Google for Developers → https://goo.gle/developers
#Gemma #GemmaDeveloperDay
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