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    3. Gemma-2-2B
    5. 8-GEMMASCOPE-TRANSCODER-16K
    7. 1910
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    Explanations

    what this neuron does is hard to determine, but it seems to activate near numbers, some math symbols, section headers, and results with discussion headings, particularly in scientific contexts

    oai_token-act-pair · gemini-2.0-flash

    scientific/analytical writing

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_8/width_16k/average_l0_52
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.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
    liffe
    -0.53
    شاركة
    -0.46
    ğren
    -0.42
    WaitGroup
    -0.39
     perfect
    -0.39
    console
    -0.39
    hood
    -0.38
    ण
    -0.38
     ung
    -0.38
     répondu
    -0.36
    POSITIVE LOGITS
    ReusableCell
    0.85
     pinulongan
    0.80
     становника
    0.78
    ⓧ
    0.73
    ftagPool
    0.71
     виправивши
    0.71
     disambiguazione
    0.71
    GEBURTSDATUM
    0.70
    findpost
    0.69
    modelBuilder
    0.68
    Activations Density 4.039%

    No Known Activations