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    5. 0-GEMMASCOPE-TRANSCODER-16K
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    The neuron looks for the word "bite" and words conveying seriousness

    oai_token-act-pair · gemini-2.0-flash

    bite

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
     mirage
    -0.63
     ran
    -0.59
     hic
    -0.55
     agra
    -0.55
     meteor
    -0.55
     recently
    -0.55
    recently
    -0.54
     cire
    -0.54
    <>
    -0.54
     Tait
    -0.54
    POSITIVE LOGITS
    berdayakan
    0.93
     vérit
    0.88
     debout
    0.86
     vectorielles
    0.85
     eccell
    0.84
     découver
    0.82
     confronti
    0.82
    GenerationType
    0.80
     démocr
    0.80
     auroit
    0.79
    Activations Density 1.696%

    No Known Activations