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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    proper nouns that appear to be related to organizations or government departments.

    oai_token-act-pair · gemini-2.0-flash

    organizational statements

    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
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    No Comments

    Negative Logits
     Efq
    -1.06
    setupUi
    -1.05
     Jefus
    -1.05
     myſelf
    -1.03
     تضيفلها
    -1.02
    ſelves
    -0.95
     XNUMX
    -0.93
     doubtnut
    -0.91
    ſelf
    -0.89
     itſelf
    -0.88
    POSITIVE LOGITS
    '
    0.59
    ’
    0.56
     co
    0.50
     Co
    0.48
    /
    0.47
     mar
    0.43
    <
    0.41
    cshtml
    0.40
    co
    0.40
     pat
    0.40
    Activations Density 4.857%

    No Known Activations