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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. 82985
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    Explanations

    food-related recommendations in dining contexts

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

    restaurants and food

    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
     facilitated
    -0.46
    imler
    -0.45
    colgroup
    -0.45
     ubezpiec
    -0.44
     downloaden
    -0.44
     quartos
    -0.43
    glMatrixMode
    -0.43
     compone
    -0.43
    جغرافيا
    -0.43
     Cognac
    -0.42
    POSITIVE LOGITS
     eatery
    0.73
    ร้าน
    0.71
     delicious
    0.71
     eateries
    0.69
     tasty
    0.64
     delicacies
    0.63
     famous
    0.62
    famous
    0.61
     yummy
    0.59
    Famous
    0.59
    Activations Density 0.073%

    No Known Activations