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

    words strongly associated with documents like legal jargon, academic papers, and formal emails

    oai_token-act-pair · gemini-2.0-flash

    time and dates

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_2/width_16k/average_l0_49
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.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
    SourceChecksum
    -0.62
    GraphicsUnit
    -0.62
     BorderRadius
    -0.61
     EconPapers
    -0.60
    帖最后由
    -0.58
     Referential
    -0.57
    titleMargin
    -0.50
    ManagedBean
    -0.50
    ttino
    -0.49
    principalTable
    -0.49
    POSITIVE LOGITS
     SSSR
    0.68
     esternos
    0.66
    toMatchSnapshot
    0.62
     GetEnumerator
    0.60
     htons
    0.59
     IOError
    0.59
    Americas
    0.59
     varargin
    0.58
    URLException
    0.57
    rália
    0.57
    Activations Density 4.425%

    No Known Activations