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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 16588
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    Explanations

    references to law enforcement and military presence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.83
     >=",
    -0.75
     ویکی‌پدیا
    -0.74
    ersonic
    -0.74
    jetunion
    -0.68
    noons
    -0.66
    KommentareTeilen
    -0.63
     ostavi
    -0.62
    Референце
    -0.62
     Roskov
    -0.61
    POSITIVE LOGITS
     officers
    0.72
     armed
    0.69
     patrolling
    0.65
     stationed
    0.63
     policemen
    0.57
     police
    0.56
     guarding
    0.56
     patrols
    0.54
     agents
    0.54
     enforcing
    0.54
    Activations Density 0.077%

    No Known Activations