SOURCE-LINKED INTELLIGENCE
Does Fine-Tuning Undo Activation Steering? Behavioural Recovery Without Weight-Edit Reversal
Activation steering can be embedded directly into a language model's weights, shaping behaviour without inference-time intervention and offering a way to encode alignment prior to release. However, models are routinely fine-tuned after deployment, and it is unknown whether embedded interventions survive this. We study the stability of embedded steering for refusal suppression and brevity induction across five instruction-tuned models (3B-14B) under non-adversarial SFT and RLHF. Behaviourally, preservation tracks the training data: steering degrades when optimisation pressure contradicts the ta
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T17:59:57.000Z
First collected: 2026-09-21T09:42:05.193Z. This is not the publication date.