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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns, especially people and organizations, in news articles about Swaziland

    oai_token-act-pair · gemini-2.0-flash

    Swaziland trials and police

    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
    GOTREF
    -0.74
    IVEREF
    -0.70
    ArgsConstructor
    -0.70
    IntoConstraints
    -0.66
     dAtA
    -0.66
    ########.
    -0.64
    +#+
    -0.63
     GenerationType
    -0.62
    rrggbb
    -0.61
    <bos>
    -0.60
    POSITIVE LOGITS
     nal
    0.57
    entibus
    0.53
     élas
    0.52
     nol
    0.52
     nem
    0.50
     nak
    0.49
     ezen
    0.48
     kwe
    0.48
     QUAL
    0.48
     dinh
    0.48
    Activations Density 1.577%

    No Known Activations