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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12672
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    INDEX
    Explanations

    elements related to performance evaluation in sports

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

    team/player performance

    np_acts-logits-general · gemini-2.0-flash

    defensive or inconsistent play

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MLLoader
    -0.57
    #+#
    -0.53
     mView
    -0.50
    蚪
    -0.50
    PyExc
    -0.45
    書籍
    -0.44
    клопе
    -0.44
     vitre
    -0.43
    NewUrlParser
    -0.43
     незавершена
    -0.43
    POSITIVE LOGITS
     defensively
    0.55
     offensively
    0.55
     early
    0.49
     against
    0.48
     momentum
    0.45
     consistent
    0.44
     consistently
    0.44
     late
    0.43
     inconsistent
    0.43
     inconsistency
    0.42
    Activations Density 0.185%

    No Known Activations