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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    text from judicial documents, extracting legal jargon and key contextual words like "motion" or "appeal", along with articles and prepositions

    oai_token-act-pair · gemini-2.0-flash

    legal context

    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
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    No Comments

    Negative Logits
    InputBorder
    -0.57
    ImageContext
    -0.53
    出版年
    -0.50
     مشين
    -0.49
    kuuta
    -0.46
    __*/
    -0.46
    ButterKnife
    -0.46
    quot
    -0.45
    onAttach
    -0.45
    oure
    -0.44
    POSITIVE LOGITS
    SourceChecksum
    0.73
    цездатний
    0.71
    fromnode
    0.66
    WithIOException
    0.63
     Paglinawan
    0.61
     kaarangay
    0.59
     समीक्षक
    0.59
    DebuggerNonUser
    0.59
    AddTagHelper
    0.59
    domada
    0.57
    Activations Density 4.540%

    No Known Activations