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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    code snippets that use numpy, matplotlib, and pandas to work with data

    oai_token-act-pair · gemini-2.0-flash

    say '.'

    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
      
    -0.71
    */),
    -0.64
     Efq
    -0.53
    encils
    -0.52
    haustible
    -0.52
    ypeł
    -0.51
    ^)
    -0.51
     femininas
    -0.51
    ratulations
    -0.50
    rítica
    -0.50
    POSITIVE LOGITS
    ыгана
    0.58
     nakalista
    0.55
    RenderAtEndOf
    0.52
     nahilalakip
    0.46
    
    0.41
    utilisons
    0.40
    esgue
    0.39
    riwal
    0.39
     समीक्षाएं
    0.38
    ibol
    0.38
    Activations Density 3.396%

    No Known Activations