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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15620
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    INDEX
    Explanations

    references to patents and related technical terminology

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

    bearings, lubrication, rollers, and friction

    np_acts-logits-general · gemini-2.0-flash

    lubrication and bearings

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     curl
    -0.36
     debt
    -0.36
     panels
    -0.35
    かけ
    -0.35
    twig
    -0.34
    Loan
    -0.34
     panel
    -0.34
    Twig
    -0.34
     hands
    -0.33
     posed
    -0.33
    POSITIVE LOGITS
     bearings
    1.07
     Bearings
    0.98
     bearing
    0.96
     lubric
    0.91
     lubrication
    0.91
     Bearing
    0.90
    Bearing
    0.87
     friction
    0.82
    bearing
    0.81
     Friction
    0.79
    Activations Density 0.490%

    No Known Activations