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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 3983
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    Explanations

    references to military personnel and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    military organization names and titles (such as Marine Corps units, ranks, and military operational designations).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    regelen
    -0.31
    dersfield
    -0.31
    ⎩
    -0.30
    abbix
    -0.29
    basicConfig
    -0.29
    дравству
    -0.28
    nanoTime
    -0.28
     compared
    -0.28
     meleg
    -0.28
     Senior
    -0.28
    POSITIVE LOGITS
     Marine
    1.10
     Marines
    1.07
     marines
    1.05
    Marine
    1.05
     MARINE
    0.98
     marine
    0.90
    marine
    0.82
    marines
    0.81
    出版年
    0.73
     amphibi
    0.67
    Activations Density 0.109%

    No Known Activations