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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns, especially company and product names.

    oai_token-act-pair · gemini-2.0-flash

    code

    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
     coming
    -0.52
     telling
    -0.51
     supposed
    -0.50
     certainly
    -0.48
     raff
    -0.48
     feeling
    -0.48
    เดียว
    -0.47
     متعلقه
    -0.47
     felt
    -0.47
    ENDING
    -0.46
    POSITIVE LOGITS
     aikaa
    0.65
     verksamhet
    0.63
     økonom
    0.63
     kvinna
    0.60
     ögon
    0.57
     Work
    0.57
     For
    0.57
     On
    0.57
     vägen
    0.57
     Hand
    0.56
    Activations Density 24.711%

    No Known Activations