Abstract

Activation steering is a powerful training-free paradigm for controlling large language models at inference time. However, standard approaches estimate a per-layer steering direction from contrastive data and apply it on the layer's entire representation space, which may couple the intervention to off-target properties present in the contrastive data and degrade unrelated capabilities. To mitigate this issue, we introduce LocUS (Localized Unembedding Steering), a method which grounds activation steering to the model's own output vocabulary subspace. By identifying a property-specific linear subspace within the unembedding matrix, LocUS enforces a geometric constraint that restricts the steering transformation to a specific subspace and at the same time localizes its application to a sparse subset of attention heads. Extensive evaluations across three model families on toxicity mitigation, sentiment redirection and sycophancy suppression show that LocUS matches or outperforms state-of-the-art baselines while intervening on under 6% of parameters and better preserving general capability.

Keywords

Subject

Publication details

Journal
Not available
Open access
Green open access

Cite this article

APA 7

Tallini, I., Basile, L., Maiorca, V., Locatello, F., & Cazzaniga, A. (2026). LocUS: Head Selection and Subspace Projection for Targeted Activation Steering. https://omanscience.com/en/articles/locus-head-selection-and-subspace-projection-for-targeted-activation-steering

MLA 9

Tallini, Irene, et al. "LocUS: Head Selection and Subspace Projection for Targeted Activation Steering." https://omanscience.com/en/articles/locus-head-selection-and-subspace-projection-for-targeted-activation-steering.

Chicago (author–date)

Tallini, Irene, Lorenzo Basile, Valentino Maiorca, Francesco Locatello, and Alberto Cazzaniga. 2026. "LocUS: Head Selection and Subspace Projection for Targeted Activation Steering." https://omanscience.com/en/articles/locus-head-selection-and-subspace-projection-for-targeted-activation-steering.

Harvard

Tallini, I., Basile, L., Maiorca, V., Locatello, F. and Cazzaniga, A. (2026) 'LocUS: Head Selection and Subspace Projection for Targeted Activation Steering', Available at: https://omanscience.com/en/articles/locus-head-selection-and-subspace-projection-for-targeted-activation-steering.

Vancouver

Tallini I, Basile L, Maiorca V, Locatello F, Cazzaniga A. LocUS: Head Selection and Subspace Projection for Targeted Activation Steering. https://omanscience.com/en/articles/locus-head-selection-and-subspace-projection-for-targeted-activation-steering

IEEE

I. Tallini, L. Basile, V. Maiorca, F. Locatello, and A. Cazzaniga, "LocUS: Head Selection and Subspace Projection for Targeted Activation Steering," https://omanscience.com/en/articles/locus-head-selection-and-subspace-projection-for-targeted-activation-steering.