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    3. Gemma-2-2B
    5. 23-GEMMASCOPE-TRANSCODER-16K
    7. 11836
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    Explanations

    This neuron looks for proper nouns, contact information (urls and emails), organization names, titles (founder, team leader), and the conjunctions "and" and "or"

    oai_token-act-pair · gemini-2.0-flash

    Organizations and people

    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
    Not in Any Lists

    No Comments

    Negative Logits
     ModelExpression
    -0.52
    vitis
    -0.48
    vich
    -0.47
    ghs
    -0.46
    AnchorTagHelper
    -0.46
    ellar
    -0.44
     준
    -0.44
    valis
    -0.44
    ández
    -0.44
    ibia
    -0.43
    POSITIVE LOGITS
    Jeografia
    0.69
    CloseOperation
    0.66
     linkovi
    0.63
    tvguidetime
    0.62
    TestTools
    0.60
    CppMethod
    0.59
     OSI
    0.57
     Cæsar
    0.55
    Datuak
    0.54
    SharedCtor
    0.54
    Activations Density 1.951%

    No Known Activations