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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the word "in" near other words describing legal or educational contexts

    oai_token-act-pair · gemini-2.0-flash

    Institutions and locations

    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
    parsedMessage
    -0.61
    didSet
    -0.54
     hạng
    -0.50
    ngdoc
    -0.50
     يتيمه
    -0.49
    giarism
    -0.48
     везе
    -0.48
     Foto
    -0.48
    icitis
    -0.48
    getValueAt
    -0.48
    POSITIVE LOGITS
    pau
    0.51
    useum
    0.50
    Nazionale
    0.48
    //
    0.47
    arbox
    0.47
    BindView
    0.46
    calciatore
    0.46
    enschutzer
    0.45
    rrggbb
    0.45
     Dispens
    0.44
    Activations Density 9.152%

    No Known Activations