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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 9-GEMMASCOPE-RES-131K
    6. 59778
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    Explanations

    terms related to food preparation methods and types, particularly focusing on deep frying

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

    fried foods and donuts

    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
    ViewImports
    -0.65
     BoxFit
    -0.61
    Personendaten
    -0.60
    tagHelperRunner
    -0.59
     мәкал
    -0.59
    ativement
    -0.59
     Bewußt
    -0.57
    enovo
    -0.57
    verifyException
    -0.56
     NSCoder
    -0.54
    POSITIVE LOGITS
    🍩
    0.41
     donuts
    0.39
     Donuts
    0.38
     doughnuts
    0.37
    Filmografia
    0.32
     franchise
    0.32
     doughnut
    0.32
     donut
    0.31
     Donut
    0.31
     Wort
    0.31
    Activations Density 0.153%

    No Known Activations