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    5. 4-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    a mix of substrings of words commonly used across many topics, and also appears to activate on multi-character language codes

    oai_token-act-pair · gemini-2.0-flash

    p

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_4/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Negative Logits
    UnknownFieldSet
    -0.47
     co
    -0.44
    本来
    -0.44
     originally
    -0.43
     resourceCulture
    -0.42
    ></
    -0.41
    getOriginal
    -0.41
    wy
    -0.40
     build
    -0.39
     Lee
    -0.39
    POSITIVE LOGITS
    ArrowToggle
    0.91
    #+#
    0.90
    帖最后由
    0.86
    脚注の使い方
    0.85
     تضيفلها
    0.81
     незавершена
    0.79
    contentLoaded
    0.76
     ويكيپيديا
    0.76
     ویکی‌پدیا
    0.74
    AutoScaleMode
    0.73
    Activations Density 9.438%

    No Known Activations