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    5. 12-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns, especially names of people, places, and teams.

    oai_token-act-pair · gemini-2.0-flash

    sports teams

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_12/width_16k/average_l0_6
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
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    Negative Logits
     AssemblyCulture
    -0.65
     DBNull
    -0.48
    mergeFrom
    -0.48
    ModelSerializer
    -0.47
     ***!
    -0.46
    ResumeLayout
    -0.44
    JoinColumn
    -0.43
    RegressionTest
    -0.43
    UnknownFields
    -0.43
    InjectAttribute
    -0.42
    POSITIVE LOGITS
     EconPapers
    0.69
    tdessen
    0.61
     nämlich
    0.60
    tidaknya
    0.59
    Rhestr
    0.58
     commerciales
    0.56
    trand
    0.56
     stationnement
    0.55
    clerView
    0.55
    íncia
    0.54
    Activations Density 1.001%

    No Known Activations