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arXiv:cs.LG· Weilun Xu (EPFL), Zipeng Sun (McGill University,Mila)·· 4 小时前

竞争伦理框架的引导向量可互换:激活引导的竞争目标检验

Steering Vectors for Competing Ethical Frameworks Are Interchangeable: A Competing-Target Test for Activation Steering

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研究者提出竞争目标检验,用于判断激活引导向量是否真正控制目标行为:将该向量与为竞争目标以相同方式构建的向量对比,检验两者差异是否低于有效边界。在开放权重模型上测试康德义务论与行为功利主义向量时,两者的引导向量对两个评分产生同向影响且均未达边界,说明它们共享了大部分方向,即"应用某种伦理框架"的请求。同样方法区分乐观与悲观语气时,向量共享部分明显更少。

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Abstract:Activation steering adds a vector to a model's hidden states to control a named behaviour. A gain on that behaviour, however, does not show that the vector controls it directly: it may act through a component shared with neighbouring behaviours, which unsteered and random baselines cannot separate. We introduce the competing-target test: a vector is compared with the vector built the same way for a competing target, and an equivalence test states when their difference is below a useful margin. We apply it in open-weight models to vectors for Kantian deontology, which judges an act by the rule it follows, and act utilitarianism, which judges it by the welfare it produces. On held-out situations, prompting a framework raises its score and lowers the other's, whereas vectors for either framework move both scores alike, and none reaches the margin. The two vectors share most of their direction, a request to apply some framework; the same construction separates an optimistic from a pessimistic tone, whose vectors share much less. What a vector shares with its competitors therefore sets what it controls: steering a perspective can deliver a mixture, and measuring a disposition can measure its neighbours, unless tested against the competing target.
Comments: 20 pages, 5 figures
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
Cite as: arXiv:2610.19359 [cs.AI]
  (or arXiv:2610.19359v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2610.19359

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Weilun Xu [view email]
[v1] Wed, 14 Oct 2026 01:00:35 UTC (355 KB)

来源:arXiv:cs.LG · arxiv.org