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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 9095
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    INDEX
    Explanations

    aspects related to health, dietary habits, and alcohol consumption

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

    quantifying intake or consumption

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     ModelRenderer
    -0.49
    SequentialGroup
    -0.49
    存于互联网档案馆
    -0.48
    tagHelperRunner
    -0.44
     büy
    -0.44
    AutoScaleMode
    -0.41
    ombras
    -0.40
    龇
    -0.40
    GraphicsUnit
    -0.40
    må
    -0.39
    POSITIVE LOGITS
     consumption
    0.92
     usage
    0.79
     expenditure
    0.73
     consumo
    0.69
     output
    0.69
    consumption
    0.68
     intake
    0.66
     consommation
    0.65
    usage
    0.62
     Consumption
    0.61
    Activations Density 0.327%

    No Known Activations