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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 71002
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    INDEX
    Explanations

    key information related to performance metrics of cars

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

    athletic performance and measurements

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Източници
    -0.38
    RTLI
    -0.37
    Referències
    -0.35
    TagMode
    -0.34
     núm
    -0.31
    ographique
    -0.30
    ENOMEM
    -0.30
     génie
    -0.29
     namn
    -0.29
    ագրություններ
    -0.29
    POSITIVE LOGITS
     sprint
    0.71
     sprints
    0.68
     acceleration
    0.57
     становника
    0.56
     slowest
    0.53
    windowFixed
    0.53
     fastest
    0.52
    加速
    0.52
     speed
    0.51
    Acceleration
    0.50
    Activations Density 0.024%

    No Known Activations