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    3. Gemma-2-2B
    5. 19-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    numbers, especially large numbers of people or money, and words like "more," "than," "served," and "with"

    oai_token-act-pair · gemini-2.0-flash

    Number of people

    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
    parsedMessage
    -0.74
    __*/
    -0.66
    contentLoaded
    -0.63
     تضيفلها
    -0.58
    InitVars
    -0.57
     المعيارى
    -0.57
    ьаж
    -0.56
    itinéraire
    -0.54
     विश्वसनीयता
    -0.54
    extAlignment
    -0.52
    POSITIVE LOGITS
    letoe
    0.63
    ſelf
    0.62
     myſelf
    0.60
     Shakspeare
    0.59
     ſever
    0.59
     ſy
    0.59
     Aristotle
    0.58
     himſelf
    0.57
     saree
    0.57
     itſelf
    0.57
    Activations Density 1.152%

    No Known Activations