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    Explanations

    names of people, particularly those who are involved in legal and government contexts, plus the dates of legal matters and place names.

    oai_token-act-pair · gemini-2.0-flash

    names

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.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
    aroos
    -0.77
    stander
    -0.76
    manship
    -0.73
    aging
    -0.69
     StringTokenizer
    -0.69
    hanger
    -0.68
    istani
    -0.67
    pence
    -0.67
    boxes
    -0.65
    boxing
    -0.65
    POSITIVE LOGITS
     nahilalakip
    0.52
    -
    0.47
     Marie
    0.44
     CanadaChoose
    0.43
     Anne
    0.40
     Maria
    0.36
     Anna
    0.35
     Louise
    0.34
     Ella
    0.34
     Mary
    0.34
    Activations Density 8.566%

    No Known Activations