AI RESEARCH

Contextual Linear Activation Steering of Language Models

arXiv CS.CL

ArXi:2604.24693v1 Announce Type: new Linear activation steering is a powerful approach for eliciting the capabilities of large language models and specializing their behavior using limited labeled data. While effective, existing methods often apply a fixed steering strength to all tokens, resulting in inconsistent steering quality across diverse input prompts. In this work, we