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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 4617
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    INDEX
    Explanations

    numerical statistics and performance metrics in sports contexts

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

    Numbers followed by sports statistics

    np_acts-logits-general · gemini-2.0-flash

    sports scores and counts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oredCriteria
    -0.77
    EndContext
    -0.73
     createState
    -0.69
     betweenstory
    -0.63
     desmotivaciones
    -0.62
    spesies
    -0.62
    colgante
    -0.62
    ########.
    -0.60
     ویکی‌پدی
    -0.60
     للمعارف
    -0.59
    POSITIVE LOGITS
     total
    0.41
     consecutive
    0.32
     quick
    0.32
     apiece
    0.31
     mon
    0.31
     draw
    0.30
     hir
    0.30
     Ike
    0.30
     '
    0.29
     rapid
    0.29
    Activations Density 0.236%

    No Known Activations