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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 3957
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    Explanations

    references to health-related metrics and behaviors

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

    Tokens preceding a bracketed citation

    np_acts-logits-general · gemini-2.0-flash

    ijerph citations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Calvo
    -0.68
     Tapia
    -0.57
    sch
    -0.55
     Bekasi
    -0.52
    s
    -0.51
     McLaughlin
    -0.51
     Wachs
    -0.50
     Jimenez
    -0.50
     McCall
    -0.50
     Schuh
    -0.49
    POSITIVE LOGITS
    er
    0.97
    izer
    0.79
    erer
    0.75
    erker
    0.67
    eder
    0.63
    rer
    0.62
    tershire
    0.61
     monasterio
    0.61
    ER
    0.60
    mander
    0.60
    Activations Density 1.140%

    No Known Activations