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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 1535
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    INDEX
    Explanations

    team names and their performance metrics in sports contexts

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

    Sports teams

    np_acts-logits-general · gemini-2.0-flash

    sports teams

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RotationOrder
    -0.43
     McClure
    -0.40
    ĝo
    -0.38
     Chwiliwch
    -0.36
    alakip
    -0.36
     tav
    -0.36
    めでとう
    -0.35
    logeny
    -0.35
    verwijspagina
    -0.35
    lanation
    -0.35
    POSITIVE LOGITS
     Mets
    0.79
     Dodgers
    0.78
     Celtics
    0.77
     Lakers
    0.77
     Knicks
    0.76
     Canucks
    0.74
     Cowboys
    0.72
     Yankees
    0.72
     Browns
    0.71
     Packers
    0.71
    Activations Density 0.201%

    No Known Activations