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    5. 3-GEMMASCOPE-TRANSCODER-16K
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    proper nouns related to law, and to a lesser extent finds proper nouns related to computing, geography and book titles

    oai_token-act-pair · gemini-2.0-flash

    named entities and legal text

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_3/width_16k/average_l0_54
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
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    Negative Logits
     fieldNum
    -0.65
     warden
    -0.65
     resourceCulture
    -0.60
     Warden
    -0.60
    msgTypes
    -0.59
     préférences
    -0.59
    üyada
    -0.58
    
    -0.57
     invokingState
    -0.54
    UVWXYZ
    -0.54
    POSITIVE LOGITS
    <bos>
    1.36
    tagHelperRunner
    0.70
     
    0.68
    ].
    0.61
    [
    0.58
    ".
    0.55
    ."
    0.54
    ).
    0.52
    ,"
    0.51
    \
    0.51
    Activations Density 8.805%

    No Known Activations