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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. 88976
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    Explanations

    mentions of player injuries and medical updates in sports contexts

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

    dates and days of the week

    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
    writeFieldEnd
    -0.45
    baguna
    -0.36
     transferencia
    -0.35
     recruited
    -0.34
     softball
    -0.34
     ucapnya
    -0.33
     representación
    -0.33
    
    -0.33
    fielder
    -0.32
     Touren
    -0.32
    POSITIVE LOGITS
     saites
    0.59
    GTCX
    0.58
    ngdoc
    0.57
     surla
    0.56
    :✨
    0.55
    NameInMap
    0.55
    帖最后由
    0.54
    جوايز
    0.54
    romyalgia
    0.54
    MENAFN
    0.54
    Activations Density 0.045%

    No Known Activations