Activation steering provides a lightweight and flexible way to control large language model (LLM) behavior. However, effective steering requires more than inducing the intended behavior: it should also limit unintended changes and remain robust across inputs and training data. Existing evaluations cover these dimension...
Hao-Tian Yang, Hui-Kang Jiang, Yu-Chen Wu et al.· 0 citations
Overall, representation engineering does not generally replace behavioral safeguards, but offers practical advantages under specific conditions and can provide complementary safety benefits.
Influence-guided response rewriting is introduced, which uses IF to identify intervention targets and replaces their responses with behavior-aligned or behavior-opposed supervision while keeping instructions fixed, motivating intervention-aware evaluation of TDA methods.
Yu-Zhang Luo, Chen-Peng Wang, Jian-Hui Chen et al.· 0 citations
This work introduces a diagnostic protocol using a minimal, target-label-free additive correction, showing that many apparent zero-shot reasoning deficits are expression failures masking intact internal logic, urging a narrower interpretation of benchmark evaluations.
