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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 62251
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    INDEX
    Explanations

    statistics related to player performance in sports

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

    statistics and performance

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Beds
    -0.44
     Vikipedi
    -0.41
    wuchs
    -0.39
    batore
    -0.38
    coats
    -0.36
     beds
    -0.36
    campe
    -0.36
    \{\\
    -0.36
    eynman
    -0.35
     zví
    -0.35
    POSITIVE LOGITS
     average
    0.77
     averages
    0.75
     averaged
    0.72
     ratio
    0.66
     ratios
    0.63
     kasarigan
    0.61
     averaging
    0.60
     percentages
    0.59
     avg
    0.59
     Average
    0.59
    Activations Density 0.028%

    No Known Activations