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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4908
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    Explanations

    references to protective gear, specifically helmets and body armor

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ConstraintMaker
    -0.56
    ThroughAttribute
    -0.50
    Obrázky
    -0.49
     للاسماء
    -0.49
    LookAnd
    -0.47
    ništ
    -0.46
    RectangleBorder
    -0.44
    QSize
    -0.44
    Gruss
    -0.44
    KommentareTeilen
    -0.44
    POSITIVE LOGITS
     helmet
    0.93
     gloves
    0.90
     protective
    0.87
     helmets
    0.84
     Protective
    0.72
     goggles
    0.72
    protective
    0.71
     Helmet
    0.70
     Hel
    0.69
    glo
    0.69
    Activations Density 0.398%

    No Known Activations