English

Refusal Lives Downstream of Persona in Chat Models

Artificial Intelligence 2026-06-24 v1

Abstract

Linear directions in activation space have been identified for both refusal and persona traits in instruction-tuned chat models, but the two have been studied as separate mechanisms. We show they interact: a compliant persona gates refusal. In Qwen2.5-7B-Instruct and Llama-3.1-8B-Instruct, we extract a compliant model-persona direction and a refusal direction and intervene on both. Compliant persona steering suppresses refusal -- in Llama, the refusal rate falls from 97% to 2%. Reintroducing the refusal direction partially restores refusal at late layers but not at early ones. Projecting out the persona direction in a late-layer window restores it to baseline; projecting out a random direction does not. Refusal is therefore gated at the late-layer expression stage, downstream of where it is computed. Treating refusal as a single isolated direction misses its dependence on persona.

Keywords

Cite

@article{arxiv.2606.26161,
  title  = {Refusal Lives Downstream of Persona in Chat Models},
  author = {Viola Zhong and Qirui Li},
  journal= {arXiv preprint arXiv:2606.26161},
  year   = {2026}
}

Comments

Accepted to the ICML 2026 Mechanistic Interpretability workshop