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Activation Steering Vectors

Methods for decomposing, composing, and applying activation-level steering directions to control model behavior.

4 papers

Where this stands

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How this thread developed

  1. Nov 2026 · Keio University, RIKEN

    AI steering vectors contain distinct functional parts good for control

    Decomposes task vectors into recognition, learning, and residual components and shows they can be separately optimized for control.

  2. Nov 2026 · Independent researcher

    Above 7B parameters, caving in to pushback can be partly switched off

    Identifies a linear activation direction controlling capitulation (abandoning correct answers under pushback) and shows it can be suppressed in large models.

  3. Nov 2026 · Soongsil University

    Random tweaks suppress leaked personal data as well as targeted fixes

    Tests whether sparse-autoencoder interventions for suppressing PII are truly targeted by comparing with random directions.

  4. Nov 2026 · MATS, Arb Research

    Language models can outdo text searches at revealing internal signals

    Trains a model to generate text that strongly activates a specified internal signal in another model, outperforming text search.