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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. 13516
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    INDEX
    Explanations

    references to people, particularly in medical and institutional contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    people in institutions

    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
    Negative Logits
    
    -0.75
    
    -0.58
    MessageTagHelper
    -0.54
    GEBURTSDATUM
    -0.52
    舺
    -0.52
    aarrggbb
    -0.51
     <>",
    -0.51
    SequentialGroup
    -0.51
    Autoritní
    -0.50
    請繼續往下閱讀
    -0.49
    POSITIVE LOGITS
     staff
    0.41
     Staff
    0.39
    Sta
    0.37
    Staff
    0.36
     contextLoads
    0.32
     Membership
    0.32
    $'
    0.32
     drin
    0.31
    جوايز
    0.31
     обита
    0.31
    Activations Density 0.314%

    No Known Activations