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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    names of countries, people, legal terms and numbers

    oai_token-act-pair · gemini-2.0-flash

    academic/legal citations

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.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
    setVerticalGroup
    -0.59
    DeleteBehavior
    -0.55
    WebVitals
    -0.53
    ValueStyle
    -0.52
    GEBURTSDATUM
    -0.50
    SourceChecksum
    -0.47
     ویکی‌پدیای
    -0.46
    脚注の使い方
    -0.45
    useState
    -0.45
     Meksiku
    -0.44
    POSITIVE LOGITS
    Kilder
    0.62
     Jefus
    0.61
     Monfieur
    0.60
    Litteratur
    0.58
     Theſe
    0.57
     myſelf
    0.56
     pleaſure
    0.54
     Herren
    0.54
     Paglinawan
    0.52
    Παρα
    0.52
    Activations Density 32.919%

    No Known Activations