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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. 64124
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    INDEX
    Explanations

    consumption patterns and associations related to dietary habits

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

    consumption of food and drink

    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
    委
    -0.41
    INITIAL
    -0.37
    identiality
    -0.35
    '])){
    -0.35
     twor
    -0.34
    付
    -0.34
    sizeCache
    -0.33
     तह
    -0.32
     initial
    -0.32
    んだけど
    -0.32
    POSITIVE LOGITS
     consumption
    0.81
     Consumption
    0.74
    Consumption
    0.72
    consumption
    0.69
     consommer
    0.68
     daily
    0.66
     consommation
    0.66
     consumir
    0.63
     consumo
    0.63
     ingestion
    0.59
    Activations Density 0.077%

    No Known Activations