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    5. 6-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    words found in scientific documents, especially medical and engineering papers

    oai_token-act-pair · gemini-2.0-flash

    medical research

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_6/width_16k/average_l0_95
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.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
    uxxxx
    -0.66
     Roskov
    -0.57
    WebVitals
    -0.54
    ↩
    -0.50
    AsUp
    -0.48
    /*
    -0.47
    וויק
    -0.47
     record
    -0.46
    Gemeinsame
    -0.44
     ›
    -0.44
    POSITIVE LOGITS
    writerow
    0.56
     Efq
    0.54
     roland
    0.54
    getBoard
    0.52
    лтемелер
    0.52
     âgées
    0.52
    extAlignment
    0.50
    idual
    0.50
    JsonPropertyName
    0.49
    migrationBuilder
    0.49
    Activations Density 25.229%

    No Known Activations