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    3. Gemma-2-2B
    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns such as names and universities as well as words that semantically relate to them

    oai_token-act-pair · gemini-2.0-flash

    Miscellaneous text snippets

    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
    EndContext
    -0.77
    
    -0.75
     consultato
    -0.72
    SourceChecksum
    -0.71
     للمعارف
    -0.71
    Lähteet
    -0.69
     <<<<<<<<<<<<<<
    -0.68
     autorytatywna
    -0.67
    Rüyada
    -0.66
     ostavi
    -0.65
    POSITIVE LOGITS
     clicar
    0.40
     artesanales
    0.39
     attirer
    0.38
     Cram
    0.37
    makeText
    0.37
     Soul
    0.37
     parteci
    0.36
     usaha
    0.36
     maxn
    0.36
    uisine
    0.35
    Activations Density 0.126%

    No Known Activations