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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. 36797
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    Explanations

    quantitative references to "lot" or "lots."

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

    lot of people

    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
    editor
    -0.42
    edited
    -0.40
    detailed
    -0.39
    кобрита
    -0.38
     environment
    -0.38
     detailed
    -0.37
     itu
    -0.36
     العنوان
    -0.36
     and
    -0.35
    voort
    -0.35
    POSITIVE LOGITS
     people
    0.95
     folks
    0.76
     mensen
    0.76
     personnes
    0.74
     persons
    0.73
    webElementXpaths
    0.72
     osób
    0.72
     individuals
    0.69
     ppl
    0.68
     المعيارى
    0.68
    Activations Density 0.033%

    No Known Activations