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    5. 19-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    uses of the word "and" appearing in technical writing

    oai_token-act-pair · gemini-2.0-flash

    Words like "therefore"

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.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
    -0.73
    ^(@)
    -0.71
    ніципалі
    -0.68
    }}]{
    -0.66
     niedersachsen
    -0.66
    bibinfo
    -0.65
     pleaſure
    -0.64
    nipeg
    -0.63
    bibfield
    -0.62
     Monfieur
    -0.61
    POSITIVE LOGITS
     therefore
    3.53
     thus
    3.20
     hence
    2.92
    therefore
    2.89
     Therefore
    2.72
    Therefore
    2.69
    thus
    2.56
     Thus
    2.47
    Thus
    2.45
     donc
    2.41
    Activations Density 5.148%

    No Known Activations