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    5. 19-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns related to people in formal contexts

    oai_token-act-pair · gemini-2.0-flash

    Quotations

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
     "/",
    -0.46
    WRENCE
    -0.45
     maha
    -0.44
    atigable
    -0.44
    ่น
    -0.44
     Opposite
    -0.42
     opposites
    -0.42
     vertu
    -0.42
    アント
    -0.42
     Carmine
    -0.41
    POSITIVE LOGITS
     Мексичка
    0.68
     told
    0.68
    Chham
    0.66
    InitVars
    0.66
    AsUp
    0.61
    новниш
    0.61
    esterday
    0.61
     ISNI
    0.60
    "]]
    0.59
    WaitGroup
    0.58
    Activations Density 1.183%

    No Known Activations