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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 55691
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    Explanations

    mentions of microbial names or references in a scientific context

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

    species abbreviations and names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.98
     Biôgrafia
    -0.82
    parsedMessage
    -0.77
    styleType
    -0.69
    WireFormatLite
    -0.68
    sizeCache
    -0.68
    AnchorStyles
    -0.68
    تقاوى
    -0.67
    ésultats
    -0.66
    ðsíða
    -0.66
    POSITIVE LOGITS
     species
    0.44
     Japanese
    0.39
     geslacht
    0.37
     Dry
    0.33
     SimpleName
    0.33
     Chinese
    0.32
     female
    0.32
     pathogenic
    0.32
    */
    0.32
     Korean
    0.32
    Activations Density 0.091%

    No Known Activations