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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. 99562
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    Explanations

    terms related to food and pharmaceuticals, especially in the context of industrial applications

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

    manufactured products and substances

    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
    ViewImports
    -0.48
    הערות
    -0.48
     NSCoder
    -0.47
    Personendaten
    -0.45
     ComVisible
    -0.44
     kandang
    -0.43
     المعيارى
    -0.42
     intptr
    -0.42
    SharedDtor
    -0.41
     graciously
    -0.40
    POSITIVE LOGITS
     industrial
    0.45
     marketed
    0.43
     Sunt
    0.42
     food
    0.41
     GOLDEN
    0.41
     motor
    0.39
     developers
    0.39
     Hues
    0.38
     présent
    0.38
     sho
    0.38
    Activations Density 0.028%

    No Known Activations