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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 7032
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    performance metrics and outcomes in clinical studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fillType
    -0.43
    RectangleBorder
    -0.43
     للاسماء
    -0.40
    FunctionFlags
    -0.39
     myſelf
    -0.39
    ⓧ
    -0.39
     ComVisible
    -0.39
    ganet
    -0.38
    MLLoader
    -0.37
    AutoSize
    -0.36
    POSITIVE LOGITS
     average
    0.72
    Average
    0.69
    平均
    0.68
     Average
    0.68
    average
    0.63
     promedio
    0.58
     Avg
    0.57
     durchschnitt
    0.56
     avg
    0.56
    avg
    0.55
    Activations Density 1.066%

    No Known Activations