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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 2924
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    INDEX
    Explanations

    technical specifications and performance metrics related to products, particularly vehicles or devices

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

    Cars, engines, and horsepower

    np_acts-logits-general · gemini-2.0-flash

    powerful engines or motors

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AttributeSet
    -0.50
     repor
    -0.46
    vige
    -0.46
    tology
    -0.45
    writeField
    -0.43
    quese
    -0.43
    iksi
    -0.43
    waitKey
    -0.43
    violi
    -0.43
    SPD
    -0.43
    POSITIVE LOGITS
     engines
    0.96
     engine
    0.89
    SequentialGroup
    0.83
     Engines
    0.75
     motors
    0.71
     Engine
    0.71
    engines
    0.68
    enumii
    0.68
    engine
    0.66
     powering
    0.65
    Activations Density 0.255%

    No Known Activations