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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    people's names or job titles, particularly in legal contexts

    oai_token-act-pair · gemini-2.0-flash

    Names

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verwijspagina
    -0.94
    TintMode
    -0.77
     kasarigan
    -0.77
     InputDecoration
    -0.77
    rrggbb
    -0.73
    aarrggbb
    -0.73
    Vidite
    -0.72
     ProtoMessage
    -0.71
     '\\;'
    -0.70
    SharedDtor
    -0.70
    POSITIVE LOGITS
     Quezon
    0.62
     Silvio
    0.59
     Ezekiel
    0.57
     Félix
    0.56
     Laurence
    0.54
     Clemente
    0.53
     Kofi
    0.53
     Julius
    0.52
     Dante
    0.51
     Rudolf
    0.51
    Activations Density 7.432%

    No Known Activations