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Activation Steering in Language Models Pulls Towards Defaults, Not Specific Behaviors

By PulseAugur Editorial · [1 sources] ·

A new research paper published on arXiv challenges the effectiveness of activation steering in language models. The study found that steering a model towards a specific behavior, such as politeness, does not isolate that behavior but instead pulls the model towards a default set of favored behaviors like refusal, sycophancy, and poeticism. This interference effect was observed across ten different instruction-tuned models and 24 distinct behaviors, with the pull towards defaults being stronger in smaller models. AI

IMPACT Challenges the modularity assumption in current language model control techniques, suggesting limitations in fine-grained behavioral steering.

RANK_REASON Research paper published on arXiv detailing findings about language model behavior. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Activation Steering in Language Models Pulls Towards Defaults, Not Specific Behaviors

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Research paper published on arXiv detailing findings about language model behavior. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Srikanth Malla, Chiho Choi, Joon Hee Choi ·

    Steering Interference Reflects the Model's Defaults, Not the Behavior Directions

    arXiv:2609.06951v1 Announce Type: cross Abstract: Activation steering promises modular control of language model behavior: a behavior such as politeness corresponds to a direction in a model's activations, and adding that direction while it generates should switch the behavior on…

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