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    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    brands of cars and trucks, especially Ford and Chevy

    oai_token-act-pair · gemini-2.0-flash

    vehicles

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
    httphttps
    -0.56
    GeneratedCode
    -0.54
    thâu
    -0.52
     knex
    -0.50
     mergeFrom
    -0.50
     Tacitus
    -0.50
    JspWriter
    -0.49
     JScrollPane
    -0.49
    tangentMode
    -0.49
    estad
    -0.49
    POSITIVE LOGITS
    IsContent
    0.59
    fromnode
    0.55
    AutoScaleMode
    0.55
     EconPapers
    0.55
    UserScript
    0.55
    withOpacity
    0.52
     CreateTagHelper
    0.49
    seguida
    0.49
    SourceChecksum
    0.48
    حياتها
    0.47
    Activations Density 0.578%

    No Known Activations