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    Explanations

    medical conditions related to pulmonary health and their detection methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L10_Hcat_z_lr1.20e-03_l11.30e+00_ds24576_bs4096_dc1.00e-05_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.10.attn.hook_z
    Hook Layer
    10
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.32
    1:0.07
    2:0.04
    3:0.06
    4:0.07
    5:0.02
    6:0.04
    7:0.10
    8:0.02
    9:0.03
    10:0.10
    11:0.08
    Negative Logits
    Jenn
    -3.80
     Samurai
    -3.21
     Marble
    -3.19
     Dino
    -3.18
     Snap
    -3.06
    Mas
    -3.04
    JSON
    -3.02
    esan
    -2.94
    Pic
    -2.93
     parser
    -2.92
    POSITIVE LOGITS
     pulmonary
    8.04
     lung
    7.74
     lungs
    7.46
    monary
    6.87
     Lung
    6.85
     inhal
    6.61
     asthma
    6.60
     bron
    6.51
     respiratory
    6.30
     coughing
    6.07
    Activations Density 0.023%

    No Known Activations