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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 55047
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    INDEX
    Explanations

    specific identification of firearms and their quantities

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

    pistols, handguns, murder weapons

    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
     surla
    -0.57
    brunn
    -0.50
    Fernseh
    -0.50
    RTLR
    -0.50
    adaptiveStyles
    -0.50
     numerus
    -0.47
    Hentet
    -0.47
     فريبيس
    -0.46
    
    -0.46
     Sack
    -0.45
    POSITIVE LOGITS
     pistols
    0.46
     pistol
    0.46
     handgun
    0.46
     писто
    0.44
     pistolet
    0.42
     pistola
    0.42
     Pistol
    0.40
     firearm
    0.37
    pist
    0.35
     mijne
    0.34
    Activations Density 0.027%

    No Known Activations