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    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    mentions of educational institutions and people's names, especially in the beginning of sentences

    oai_token-act-pair · gemini-2.0-flash

    Ferenc

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.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
    出版年
    -0.75
    InSection
    -0.70
     <<<<<<<<<<<<<<
    -0.62
     pinulongan
    -0.62
    omla
    -0.57
    LabelTagHelper
    -0.57
     nahilalakip
    -0.57
     Référence
    -0.57
     BoxDecoration
    -0.55
    crisy
    -0.55
    POSITIVE LOGITS
     transférez
    0.47
    IMPLEMENTATION
    0.47
    yntaxException
    0.47
     Rasp
    0.45
     sint
    0.44
     persen
    0.43
     Eleg
    0.43
     extiende
    0.42
     György
    0.42
    固
    0.41
    Activations Density 0.280%

    No Known Activations