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    5. 18-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the word "professional" followed by other words signifying jobs or careers

    oai_token-act-pair · gemini-2.0-flash

    professional

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_18/width_16k/average_l0_13
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Negative Logits
    GraphicsUnit
    -0.59
     ProtoMessage
    -0.56
    ImageContext
    -0.56
     nakalista
    -0.56
     ThemeData
    -0.54
    istoitu
    -0.54
    談社
    -0.52
    },{
    -0.50
    "}")
    -0.49
    <tfoot>
    -0.49
    POSITIVE LOGITS
    Datuak
    0.74
    Біографія
    0.62
     pik
    0.57
     Cadena
    0.57
     Wikimedijinoj
    0.57
     pleaſure
    0.56
     sẻ
    0.56
    jgl
    0.55
    iedad
    0.53
    digkeit
    0.53
    Activations Density 2.021%

    No Known Activations