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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    many of the most frequent words in the English language, along with a few football related words

    oai_token-act-pair · gemini-2.0-flash

    the

    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
    ThroughAttribute
    -1.05
    __':
    -0.73
    SourceChecksum
    -0.70
     насељу
    -0.69
     AttributeSet
    -0.69
    expandindo
    -0.68
    AndEndTag
    -0.67
    RunAsync
    -0.66
    ciaż
    -0.66
     ujednoznacz
    -0.66
    POSITIVE LOGITS
    ri
    0.45
    ಉ
    0.45
     memutuskan
    0.44
    ire
    0.44
    TD
    0.44
     game
    0.44
    ಿ
    0.43
    Organizations
    0.42
    game
    0.42
    IN
    0.42
    Activations Density 1.071%

    No Known Activations