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    5. 0-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    proper nouns and words containing "ar", "ta", "ha", "tie", "ming", etc

    oai_token-act-pair · gemini-2.0-flash

    Code, locations, medicine

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     myſelf
    -1.61
     Efq
    -1.60
     Theſe
    -1.55
     betweenstory
    -1.45
     Shakspeare
    -1.43
     photolibrary
    -1.41
     Anſ
    -1.37
     Majefty
    -1.36
     leaſt
    -1.36
     Jefus
    -1.36
    POSITIVE LOGITS
     
    0.93
     in
    0.84
     the
    0.83
     to
    0.78
     The
    0.75
     is
    0.72
     on
    0.70
     for
    0.68
     I
    0.67
     after
    0.65
    Activations Density 0.193%

    No Known Activations