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    Explanations

    names and words frequently found in legal documents, news articles, and police reports

    oai_token-act-pair · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Most
    -0.50
     byste
    -0.48
    Most
    -0.47
     <<<<<<<<<<<<<<
    -0.46
    Popularity
    -0.45
     corresponden
    -0.44
    yorsunuz
    -0.44
     after
    -0.43
    íncia
    -0.43
     judicia
    -0.43
    POSITIVE LOGITS
     مشين
    0.73
    Hentet
    0.69
    NameInMap
    0.61
    出版年
    0.60
    MemoryWarning
    0.59
    Referanser
    0.59
     لينك
    0.58
     memberId
    0.57
    thylamine
    0.57
    <_>
    0.56
    Activations Density 9.829%

    No Known Activations