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    5. 2-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words related to legal professions and government positions

    oai_token-act-pair · gemini-2.0-flash

    legal professions

    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
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    Negative Logits
     ambassador
    -0.88
    COUVER
    -0.80
     Ambassador
    -0.80
     embassy
    -0.68
     ambassadors
    -0.67
    Ambassador
    -0.66
     Embassy
    -0.63
    WireFormatLite
    -0.60
     embassies
    -0.55
     diplomat
    -0.54
    POSITIVE LOGITS
     **)
    0.62
    MethodManager
    0.60
    帖最后由
    0.57
    MessageTagHelper
    0.56
     Bü
    0.56
     AssemblyCulture
    0.55
     }</
    0.55
    TagHelper
    0.53
     '').
    0.52
    луй
    0.52
    Activations Density 1.405%

    No Known Activations