A curated list of resources for activation engineering
Runtime control of LLM agent behaviors through activation steering vectors. More calibrated than prompting.
Iterative Sparse Matrix Steering: Closed-Form Subspace Alignment for Multi-Layer LLM Control (No SGD required).
A closed-loop control system for Large Language Models that steers internal activation states in real-time to prevent mode collapse and toxicity
Behavioral auditing toolkit for LLMs: rho-audit measures factual accuracy, bias, sycophancy, toxicity, and reasoning via teacher-forced confidence probes. SVD compression with knowledge preservation. Steering vectors for runtime behavioral control. 12-model merge audit across SLERP/TIES/DARE-TIES/Linear.
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