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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 11984
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    Explanations

    references to injuries and their impact on player performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    webElementXpaths
    -0.69
    ArgsConstructor
    -0.63
     autorytatywna
    -0.63
    findpost
    -0.61
    Jîn
    -0.60
    EndContext
    -0.60
    InitStruct
    -0.59
    Välislingid
    -0.58
    Autoritní
    -0.58
     CURIAM
    -0.58
    POSITIVE LOGITS
     due
    1.11
    due
    0.96
     Due
    0.96
    Due
    0.94
     devido
    0.87
     DUE
    0.77
     debido
    0.75
    DUE
    0.67
     بسبب
    0.67
     λό
    0.66
    Activations Density 0.650%

    No Known Activations