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

    This neuron appears designed to extract information from scientific and legal documents, identifying specific terms, indices, and coordinate systems within equations, case specifications, and military jargon.

    oai_token-act-pair · gemini-2.0-flash

    Code/math/legal

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_3/width_16k/average_l0_54
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.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
     Shakspeare
    -0.65
     Workmen
    -0.65
    DoubleQuotes
    -0.64
    DockStyle
    -0.63
    Przypisy
    -0.60
    Населення
    -0.60
    siasme
    -0.60
     Audiodateien
    -0.60
     שוליים
    -0.60
    ammans
    -0.59
    POSITIVE LOGITS
     }{@
    0.48
    Jereo
    0.47
     ***!
    0.45
     peman
    0.41
    liferay
    0.41
    JNIEnv
    0.41
     zona
    0.40
    bran
    0.40
    пан
    0.40
    燃
    0.40
    Activations Density 2.824%

    No Known Activations