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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words that might be found in an academic paper about the findings of medical studies

    oai_token-act-pair · gemini-2.0-flash

    against

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Бахар
    -0.58
     Lagu
    -0.54
    setVerticalGroup
    -0.54
     gainera
    -0.53
    rhosis
    -0.51
    licken
    -0.50
    олові
    -0.48
     sẻ
    -0.48
    abestanden
    -0.48
    :"-"`
    -0.47
    POSITIVE LOGITS
     against
    3.27
    against
    3.05
     Against
    2.98
    Against
    2.95
     AGAINST
    2.55
     contre
    1.93
     gegen
    1.90
     против
    1.59
     proti
    1.51
     melawan
    1.41
    Activations Density 3.363%

    No Known Activations