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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. 66102
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    Explanations

    references to antimicrobial activities and their effectiveness against various strains

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

    antibacterial or antimicrobial activity

    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
    EventId
    -0.39
     EPO
    -0.38
     propOrder
    -0.38
    alini
    -0.38
    zepam
    -0.37
     diet
    -0.37
     Cerebral
    -0.37
    bital
    -0.36
    ftagPool
    -0.36
    Dol
    -0.35
    POSITIVE LOGITS
     antimicrobial
    0.84
     antibacterial
    0.79
     Antimicrobial
    0.73
     against
    0.71
     killing
    0.68
    Killing
    0.62
     antibio
    0.61
    Against
    0.60
    against
    0.60
     kill
    0.60
    Activations Density 0.269%

    No Known Activations