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    INDEX
    Explanations

    names of people, places, and organizations commonly found in research paper acknowledgements and funding sections

    oai_token-act-pair · gemini-2.0-flash

    Chinese names

    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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    Negative Logits
     itſelf
    -1.42
     Monfieur
    -1.41
     pleaſure
    -1.38
     Jefus
    -1.34
     myſelf
    -1.34
     raiſ
    -1.31
     Efq
    -1.31
     ſind
    -1.29
    <bos>
    -1.26
     Majefty
    -1.25
    POSITIVE LOGITS
     I
    0.79
     
    0.72
     (
    0.68
     J
    0.66
     P
    0.65
     R
    0.63
    ↵
    0.63
     S
    0.62
     K
    0.60
     [
    0.60
    Activations Density 0.453%

    No Known Activations