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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 10613
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    Explanations

    references to manufacturing processes and assembly lines in the automotive industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carre
    -0.41
     Carré
    -0.40
     resolution
    -0.39
     part
    -0.35
     behavior
    -0.34
     square
    -0.34
     Part
    -0.33
    ريات
    -0.33
     Square
    -0.33
     penetration
    -0.33
    POSITIVE LOGITS
     factories
    0.85
     Produktions
    0.73
     Factories
    0.73
    Production
    0.72
     fábrica
    0.72
     factory
    0.72
     fábricas
    0.71
    工場
    0.70
     usine
    0.69
     production
    0.68
    Activations Density 0.474%

    No Known Activations