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    2. Gemma-2-2B
    3. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    This neuron detects a variety of syntax that is common in various coding languages, such as HTML, C++, Python, and others, as well as some chemical names

    oai_token-act-pair · gemini-2.0-flash

    computer code

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.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
    脚注の使い方
    -0.78
    IntoConstraints
    -0.71
    ksessa
    -0.70
    SuspendLayout
    -0.68
     فريبيس
    -0.67
    spaceBetween
    -0.65
    protoimpl
    -0.64
     CreateTagHelper
    -0.64
    BufferException
    -0.63
     EClass
    -0.63
    POSITIVE LOGITS
    "><?
    0.40
    ">${
    0.36
    astéro
    0.35
     cliquant
    0.34
    kmale
    0.32
     developers
    0.32
     Paterson
    0.31
    BatchNorm
    0.31
    envolvimento
    0.31
     trụ
    0.31
    Activations Density 0.402%

    No Known Activations