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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    uses of the word "to" within sentences, as well as some related negative words

    oai_token-act-pair · gemini-2.0-flash

    non-English

    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
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    No Comments

    Negative Logits
     foaming
    -0.81
    :✨
    -0.79
     modding
    -0.79
     bleaching
    -0.79
     staining
    -0.78
     quenching
    -0.78
    出版年
    -0.77
     thawing
    -0.77
     dredging
    -0.77
     normalization
    -0.77
    POSITIVE LOGITS
    bedür
    0.48
    EnableWeb
    0.48
    tvguidetime
    0.46
    ölf
    0.40
    viele
    0.40
    ՚
    0.40
    <%@
    0.39
    дравствуйте
    0.37
    ندما
    0.37
    thme
    0.36
    Activations Density 4.902%

    No Known Activations