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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns and media references within news articles, especially those involving Swaziland and its media

    oai_token-act-pair · gemini-2.0-flash

    Foreign words

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.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
     MenuView
    -0.58
    PhysRev
    -0.56
    PhysRevD
    -0.55
    CloseOperation
    -0.54
    kloped
    -0.54
    Hentet
    -0.53
    bootstrapcdn
    -0.49
    таратура
    -0.48
    存于互联网档案馆
    -0.47
    fml
    -0.46
    POSITIVE LOGITS
     mandatario
    0.66
     financières
    0.64
     banques
    0.59
     flesta
    0.58
     énergé
    0.57
     muualla
    0.57
     benzina
    0.55
     ascenso
    0.53
     colère
    0.53
    Weblinks
    0.53
    Activations Density 0.769%

    No Known Activations