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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 115095
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    INDEX
    Explanations

    references to performance in various contexts

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

    performance

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    wäsche
    -0.39
    mitteln
    -0.37
    <bos>
    -0.37
    lesias
    -0.36
     musical
    -0.36
     Wikimedijinoj
    -0.36
    Yes
    -0.35
    <h1>
    -0.35
     scol
    -0.34
     cou
    -0.33
    POSITIVE LOGITS
     performance
    1.22
     Performance
    1.16
    performance
    1.05
    Performance
    1.05
     desempenho
    1.03
     PERFORMANCE
    1.02
     performances
    0.97
    性能
    0.94
    PERFORMANCE
    0.93
     Performances
    0.91
    Activations Density 0.016%

    No Known Activations