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    text of medical studies involving quantifying adverse events in patients

    oai_token-act-pair · gemini-2.0-flash

    adverse events

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_8/width_16k/average_l0_52
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
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    Negative Logits
    BeginContext
    -0.57
     múl
    -0.51
     bày
    -0.51
     useContext
    -0.51
     dépens
    -0.48
     næste
    -0.48
     semakin
    -0.47
    FAK
    -0.46
    dags
    -0.46
    BeginInit
    -0.45
    POSITIVE LOGITS
     myſelf
    0.61
     समीक्षाओं
    0.60
     Covent
    0.57
     itſelf
    0.55
     Normdatei
    0.55
     themſelves
    0.55
     himſelf
    0.54
     raiſ
    0.54
     calendriers
    0.54
    
    0.53
    Activations Density 2.393%

    No Known Activations