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    Steering AI with opposing fine-tunes may often generalize better than activation steering

    A post says the method uses the weight difference between two opposite fine-tunes as a steering direction.

    DH
    1 Source, 1h ago, first seen 1h ago

    TLDR

    A post describing the authors’ work says steering along the weight difference between opposite fine-tunes is often more generalizable than activation steering. It also quotes a finding that emergent misalignment can be detected by comparing fine-tuning updates with an “evil” weight direction.

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    2

    1 Source, first seen 1h ago

    Combined views

    2

    1 Source, first seen 1h ago

    14 reposts
    14 reposts

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    1 Source

    @dhadfieldmenellRT @Sauers_: authors (@constanzafierro, @FabienDRoger) use a simple method, steering along the difference between two opposite fine-tunes (…1h

    1 Source

    @dhadfieldmenellRT @Sauers_: authors (@constanzafierro, @FabienDRoger) use a simple method, steering along the difference between two opposite fine-tunes (…1h