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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 55032
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    INDEX
    Explanations

    references to food and drink consumption

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    eating food or drinking

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    BOUND
    -0.48
     Blum
    -0.44
     hoppas
    -0.44
    Bathrooms
    -0.43
    aéroport
    -0.43
    Stadt
    -0.42
    insics
    -0.42
     Hope
    -0.42
     Hopes
    -0.42
     Hass
    -0.41
    POSITIVE LOGITS
    ItemBackground
    0.61
     eating
    0.57
     appetite
    0.56
     eat
    0.50
     eaten
    0.50
    aarrggbb
    0.50
     eater
    0.49
    UrlResolution
    0.49
     food
    0.47
     intake
    0.47
    Activations Density 0.126%

    No Known Activations