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Which Words a Model Fears: From a Refusal Direction to a Vocabulary-Wide Fear Lexicon

Paper recorded by Signals 4 on 2026-11-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.CL · 自然语言处理 · first seen 2026-11-03

Abstract

Whether an aligned language model refuses depends in part on which words a prompt contains, regardless of whether those words carry the request's meaning. Harm words shift the hidden state at the generation boundary along a component shared across prompts and words, which crossed differencing extracts as a single direction. In eight models, writing along this direction raises and lowers refusal mo

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#42 most recent of 628 cs.CL papers we have recorded · ↑ newer: VisCodeBench: a new benchmark dataset for Text-to-Vis reflecting real- · ↓ older: Flide: Accelerating Decision Inference with Exact State Forking
Cite this page: Which Words a Model Fears: From a Refusal Direction to a Vocabulary-Wide Fear Lexicon: the #42 most recent of 628 cs.CL papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/which-words-a-model-fears-from-a-refusal-direction-to-a-vocabulary-wide-fear-lex.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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