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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 42216
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    Explanations

    elements related to dining etiquette and recommendations

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

    wine and sake

    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
     eatery
    -0.79
     eateries
    -0.75
     cafeteria
    -0.73
     café
    -0.71
     cafe
    -0.69
     cafeter
    -0.68
     cafés
    -0.67
     meals
    -0.66
     meal
    -0.64
     cafes
    -0.63
    POSITIVE LOGITS
     wine
    0.62
    Wine
    0.52
     Wine
    0.51
    ワイン
    0.50
    wine
    0.47
     somme
    0.46
     ワイン
    0.46
    日本酒
    0.45
     Somme
    0.45
    葡萄酒
    0.45
    Activations Density 0.018%

    No Known Activations