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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns -- mainly names of people, places and organizations (especially sports teams and news outlets).

    oai_token-act-pair · gemini-2.0-flash

    Organizations and people

    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
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    Negative Logits
    mybatisplus
    -0.68
     AspNetCore
    -0.65
    posedge
    -0.64
    原始内容存档于
    -0.61
    EndInit
    -0.57
    writeField
    -0.56
     estekak
    -0.56
    ISupport
    -0.56
     يتيمه
    -0.56
     NUKAT
    -0.55
    POSITIVE LOGITS
     Reps
    0.54
    therners
    0.54
     diplomats
    0.52
     Secretaries
    0.52
     Ambassadors
    0.52
     secretaries
    0.51
     Photographers
    0.50
     ambassadors
    0.48
     bishops
    0.48
     Corinne
    0.48
    Activations Density 13.130%

    No Known Activations