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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. 9-GEMMASCOPE-RES-131K
    11. 38296
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    INDEX
    Explanations

    names and mentions of athletes in sports contexts

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

    athletes and achievements

    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
    Not in Any Lists

    No Comments

    Negative Logits
    حات
    -0.31
    pertory
    -0.30
    ndorf
    -0.30
     boot
    -0.30
     Par
    -0.29
    Život
    -0.28
     oven
    -0.28
     kantor
    -0.28
    enta
    -0.27
     zad
    -0.27
    POSITIVE LOGITS
     Ronaldo
    0.77
     Messi
    0.76
    chkin
    0.76
     Neymar
    0.75
    Ronaldo
    0.74
    Neymar
    0.73
    Messi
    0.70
     LeBron
    0.69
     Federer
    0.68
     ronaldo
    0.68
    Activations Density 0.059%

    No Known Activations