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    2. Gemma-2-2B
    3. 6-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    this neuron has several behaviors, but the strongest is to find religious text, and also has weaker matches to personal advice and also things within software programming environments.

    oai_token-act-pair · gemini-2.0-flash

    what

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_6/width_16k/average_l0_95
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.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
     actionMode
    -0.78
    RenderAtEndOf
    -0.77
    ectoria
    -0.70
     оригіналу
    -0.66
     intptr
    -0.66
    migrationBuilder
    -0.64
    haltens
    -0.62
     Audiodateien
    -0.61
    \{\\
    -0.61
    >--}}
    -0.61
    POSITIVE LOGITS
     thiệu
    0.54
    mergeFrom
    0.51
    writerow
    0.50
    ModelSerializer
    0.46
     holl
    0.46
    पया
    0.45
    ForValue
    0.45
    Vidite
    0.44
    はじめに
    0.43
    userdetails
    0.42
    Activations Density 19.803%

    No Known Activations