ZFancy/awesome-activation-engineering
A curated list of resources for activation engineering
This resource provides a curated collection of research papers and materials focused on "Activation Engineering" for foundation models, particularly Large Language Models (LLMs). It helps AI researchers and developers understand how concepts are represented within these models, how to detect when those concepts are active, and how to influence model behavior by modifying internal activations. The output is a structured list of academic papers and related resources.
132 stars. No commits in the last 6 months.
Use this if you are an AI researcher or developer actively working on understanding, interpreting, or controlling the internal mechanisms of large language models.
Not ideal if you are looking for ready-to-use code, pre-built applications, or a high-level overview of LLMs for non-technical users.
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MIT
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Last pushed
Oct 02, 2025
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