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    Explanations

    context-specific keywords depending on the category of text, such as brand names, chemical compounds, programming terms, or legal jargon.

    oai_token-act-pair · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_12/width_16k/average_l0_6
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.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
     encanta
    -0.47
     Käse
    -0.45
    AccessorTable
    -0.45
     Unidas
    -0.40
     far
    -0.39
    clientX
    -0.37
    czas
    -0.37
     izle
    -0.36
     Vaters
    -0.36
     magn
    -0.36
    POSITIVE LOGITS
    
    0.98
    PreferredItem
    0.84
     فريبيس
    0.82
    ReusableCell
    0.81
    ::$_
    0.80
    AndEndTag
    0.79
    abestanden
    0.77
    MigrationBuilder
    0.75
     صوتيه
    0.75
     AssemblyCulture
    0.73
    Activations Density 2.033%

    No Known Activations