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Reasoning Training Moved Along the Safety Direction

A representation-space audit links some reasoning fine-tunes to safety shifts and proposes a penalty at the implicated layers.

Published Updated Story ID: mp-2026-08-25-006
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Summary

A representation-space audit links some reasoning fine-tunes to safety shifts and proposes a penalty at the implicated layers.

The authors stress that reasoning-induced misalignment does not appear across every architecture, scale or dataset. On Qwen2.5 3B and 7B experiments, a learned safety-direction penalty restored measured safety while preserving benchmark reasoning performance, with diagnostics guiding which layers to include.

Why it matters

A representation-space audit links some reasoning fine-tunes to safety shifts and proposes a penalty at the implicated layers.

Limits and context

  • The authors stress that reasoning-induced misalignment does not appear across every architecture, scale or dataset.

Key claims

  1. A representation-space audit links some reasoning fine-tunes to safety shifts and proposes a penalty at the implicated layers.

    Qualification: The authors stress that reasoning-induced misalignment does not appear across every architecture, scale or dataset.

    Evidence: source-2026-08-25-006

Sources

  1. arXiv preprint 2608.23497arXiv · primary research

Corrections

No corrections have been recorded for this story.