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    5. 4-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the word "where" and also "that" and "the" following where

    oai_token-act-pair · gemini-2.0-flash

    where

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_4/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.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
     محفوظة
    -0.85
    Искәрмәләр
    -0.83
     հղումներ
    -0.73
     الحره
    -0.71
     kasarigan
    -0.69
    Бахар
    -0.68
     EconPapers
    -0.66
    ㅐ
    -0.66
    ništvo
    -0.62
    CreateModel
    -0.61
    POSITIVE LOGITS
     виправивши
    0.69
     locations
    0.66
    Places
    0.62
     nokt
    0.61
    Locations
    0.60
     places
    0.59
     Où
    0.59
    places
    0.58
     Locations
    0.57
     yerde
    0.57
    Activations Density 2.081%

    No Known Activations