Mechanistic interpretability project from the Mechanistic Interpretability Hackathon that studies properties of soft-tuning or prompt-tuning and empirically shows that task tokens can form a convex set.
Endorsements support MentaLeap.
Mechanistic interpretability project from the Mechanistic Interpretability Hackathon that studies properties of soft-tuning or prompt-tuning and empirically shows that task tokens can form a convex set.
Endorsements support MentaLeap.
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Updated 05/18/26 · By grantmaking.aiTeam member
Grants Received– no grants recorded
Updated 05/18/26 · By grantmaking.aiDiscussion
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