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    Explanations

    text from legal documents or code, possibly names within those contexts.

    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
    ulose
    -0.45
    QSize
    -0.43
     Azo
    -0.42
     Nha
    -0.40
     parab
    -0.40
     Riau
    -0.40
     Oblast
    -0.39
     PLN
    -0.39
    fxml
    -0.39
     Cluj
    -0.39
    POSITIVE LOGITS
     Dickerson
    0.71
     Scott
    0.71
     William
    0.71
     Jones
    0.70
     Nicholson
    0.69
     Jackson
    0.68
     Williams
    0.68
     Franklin
    0.67
     John
    0.67
     Johnson
    0.67
    Activations Density 1.300%

    No Known Activations