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    Explanations

    proper nouns, especially names of people, places, and organizations, and also words related to medical conditions

    oai_token-act-pair · gemini-2.0-flash

    Text snippets

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_4/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
     transfieras
    -0.72
     bezeichneter
    -0.70
     disambiguazione
    -0.68
    
    -0.68
     hObject
    -0.67
    UserScript
    -0.65
    脚注の使い方
    -0.63
    WebVitals
    -0.61
    saraba
    -0.61
     StringTokenizer
    -0.60
    POSITIVE LOGITS
    WebElementEntity
    0.62
    Климат
    0.56
     논
    0.53
     gian
    0.50
    ')}}"
    0.50
    TintMode
    0.49
     върху
    0.49
     pot
    0.47
    ماس
    0.46
     Obt
    0.46
    Activations Density 14.240%

    No Known Activations