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    5. 2-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words and phrases related to direction, incremental change, industry jargon, injury, energy, and financial trends.

    oai_token-act-pair · gemini-2.0-flash

    ward and iter in context

    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

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    Negative Logits
    ward
    -0.75
    iter
    -0.67
    wards
    -0.59
    WARD
    -0.56
     m
    -0.52
     a
    -0.51
     absorbed
    -0.49
    ,
    -0.49
     ward
    -0.48
    ody
    -0.47
    POSITIVE LOGITS
     vPvB
    0.89
    UnknownFieldSet
    0.88
     myſelf
    0.85
    EndContext
    0.85
    RectangleBorder
    0.84
    MLLoader
    0.83
     Shakspeare
    0.81
    tanleria
    0.80
     faſt
    0.79
     Wikispecies
    0.79
    Activations Density 5.532%

    No Known Activations