Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5
arXiv:2607.04510v2 Announce Type: replace-cross Abstract: Emergent misalignment (EM) --- the broad misbehaviour a language model acquires after fine-tuning on narrow harmful data --- is mediated in Qwen2.5 models by a latent persona direction, and that direction is causal in open weights. Transplanting it into a model that shares only pretraining with its source induces broad EM (2.83 $\pm$ 0.26\% misaligned against a random-direction floor of $\sim$1.1\%), and ablating a model's own direction r
Record details
Published: 5 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Safety & alignment
Retrieved: 5 August 2026
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ethics.ai (5 August 2026), “Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5,” evidence record 16212, https://ethics.ai/record/16212 (originally published by arXiv cs.CY).
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