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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 16-GEMMASCOPE-RES-65K
    11. 31558
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    Explanations

    references to athletes and their achievements in canoeing at the Olympic and Pan American Games

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

    Olympic athletes and medals

    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-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_65k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    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
    parsedMessage
    -0.91
    principalTable
    -0.82
     виправивши
    -0.81
    FormTagHelper
    -0.72
     AssemblyCulture
    -0.64
    ViewFeatures
    -0.63
     esboço
    -0.63
    glises
    -0.59
    ToAction
    -0.58
    ecap
    -0.58
    POSITIVE LOGITS
     medals
    0.87
     medal
    0.80
     athletes
    0.78
     Olympic
    0.77
    Olympic
    0.71
    athletes
    0.69
     Medals
    0.68
     Athletes
    0.66
     athlete
    0.65
     Olympics
    0.65
    Activations Density 0.139%

    No Known Activations