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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    uses of the words "we", "to", "may", and words associated with technical writing.

    oai_token-act-pair · gemini-2.0-flash

    to

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.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
    principalColumn
    -0.69
     المعيارى
    -0.58
     autorytatywna
    -0.54
    setVerticalGroup
    -0.51
    SequentialGroup
    -0.49
     post
    -0.49
     تانيه
    -0.49
    oa̍t
    -0.48
    كونات
    -0.48
    aarrggbb
    -0.47
    POSITIVE LOGITS
    tagHelperRunner
    0.57
     архивлан
    0.54
     ISNI
    0.52
     Nons
    0.52
     noqa
    0.50
     kasarigan
    0.50
    stander
    0.50
     Narcis
    0.50
    izien
    0.50
    AddTagHelper
    0.49
    Activations Density 7.976%

    No Known Activations