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    5. 3-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    stems of specific words, like "with", "Sith", and "cum"

    oai_token-act-pair · 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
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    Negative Logits
     nakalista
    -0.77
    rawDesc
    -0.66
    principalTable
    -0.54
     actionPerformed
    -0.54
    EndInit
    -0.53
    AnimationsModule
    -0.52
     SafeMath
    -0.49
     Xunit
    -0.47
    ரை
    -0.47
    toMatchSnapshot
    -0.46
    POSITIVE LOGITS
    with
    1.53
     with
    1.52
     WITH
    1.45
    WITH
    1.42
    With
    1.40
     With
    1.37
    avec
    1.20
     Avec
    1.17
     avec
    1.16
    Avec
    1.13
    Activations Density 0.524%

    No Known Activations