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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. 39617
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    Explanations

    terms related to first responders and frontline personnel

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

    frontline or first-line treatments

    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
     wander
    -0.35
    Achter
    -0.34
    唆
    -0.34
     Denn
    -0.33
     wandering
    -0.33
     proportion
    -0.32
     itinéraires
    -0.32
     siang
    -0.32
    arto
    -0.32
     Hinter
    -0.32
    POSITIVE LOGITS
    parsedMessage
    0.75
     سكانية
    0.67
    AndEndTag
    0.63
    wapV
    0.60
    :+:
    0.57
     HasFactory
    0.56
     ſta
    0.56
     responders
    0.55
     FetchType
    0.54
    AddHtmlAttribute
    0.54
    Activations Density 0.008%

    No Known Activations