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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. 16845
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    INDEX
    Explanations

    keywords related to food processing and preservation methods

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

    processed foods, ingredients, substances

    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
    Not in Any Lists

    No Comments

    Negative Logits
     stol
    -0.39
     saites
    -0.34
    ligg
    -0.34
    ้าว
    -0.33
    putExtra
    -0.31
     paik
    -0.31
     intptr
    -0.31
     tempio
    -0.30
     cervello
    -0.30
    нисти
    -0.30
    POSITIVE LOGITS
    oredCriteria
    0.53
     ProtoMessage
    0.53
     архивлан
    0.50
    Autoritní
    0.50
    Blitz
    0.49
    ніципалі
    0.47
    rungsseite
    0.47
     utafitiHapana
    0.46
    はじめに
    0.46
    agisse
    0.46
    Activations Density 0.054%

    No Known Activations