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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    names of people, organizations and titles in specific formatting patterns

    oai_token-act-pair · gemini-2.0-flash

    Computer code/data

    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
    RenderAtEndOf
    -0.84
    )：
    -0.64
    tagHelperRunner
    -0.64
     disambiguazione
    -0.62
    )、
    -0.60
    )’
    -0.60
     beginnetje
    -0.59
    ,[
    -0.58
    ,}
    -0.58
     ),
    -0.57
    POSITIVE LOGITS
    原始内容存档于
    0.54
    cshtml
    0.50
     ChromeDriver
    0.49
    httphttps
    0.43
    ="&#
    0.42
     morire
    0.42
    ButterKnife
    0.41
    CloseOperation
    0.41
    CJK
    0.40
    État
    0.39
    Activations Density 2.524%

    No Known Activations