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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 7792
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    Explanations

    references to rugby players and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     فريبيس
    -0.47
    UrlResolution
    -0.44
    lewati
    -0.40
    号線
    -0.40
     ocu
    -0.40
    RUnlock
    -0.40
    regional
    -0.39
    ритори
    -0.38
    !("{}",
    -0.38
    Parcelize
    -0.38
    POSITIVE LOGITS
     rugby
    0.75
     Rugby
    0.60
    Rugby
    0.59
    rugby
    0.56
     nahilalakip
    0.47
    archiviato
    0.45
     חיצוניים
    0.44
    setVerticalGroup
    0.44
    sizeCache
    0.42
     مشين
    0.42
    Activations Density 0.087%

    No Known Activations