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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 3296
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    INDEX
    Explanations

    performance metrics related to vehicles, specifically acceleration and speed figures

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

    acceleration or speed

    np_acts-logits-general · gemini-2.0-flash

    speed, acceleration, and rates

    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
     intptr
    -0.58
    IntoConstraints
    -0.53
    jsxFileName
    -0.48
     Rules
    -0.46
     strlen
    -0.45
    beutel
    -0.44
    Hypothesis
    -0.43
     EdgeInsets
    -0.42
    yaf
    -0.41
    下一篇
    -0.41
    POSITIVE LOGITS
     fastest
    0.86
     beschleun
    0.77
     Fastest
    0.77
     faſt
    0.74
    Rapid
    0.72
     швидко
    0.72
     schneller
    0.71
     snabbt
    0.70
     Speeds
    0.70
     سرعت
    0.69
    Activations Density 0.146%

    No Known Activations