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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    words strongly related to soccer and sports, including players, management, and gameplay

    oai_token-act-pair · gemini-2.0-flash

    Soccer/football

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Negative Logits
    Personensuche
    -0.52
    RRect
    -0.50
     Melayu
    -0.50
     publiques
    -0.49
    mouseleave
    -0.49
     extérieures
    -0.49
    DockStyle
    -0.49
    QMetaType
    -0.48
    Viited
    -0.47
     hadapan
    -0.47
    POSITIVE LOGITS
     striker
    0.83
     football
    0.82
     Manchester
    0.82
     strikers
    0.81
     FC
    0.80
     Arsenal
    0.80
     soccer
    0.79
     transfer
    0.76
     goalkeeper
    0.76
     Transfer
    0.76
    Activations Density 5.666%

    No Known Activations