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    Explanations

    references to specific teams in a sporting context, particularly regarding their performance and history

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L9_Hcat_z_lr1.20e-03_l11.20e+00_ds24576_bs4096_dc1.00e-06_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.9.attn.hook_z
    Hook Layer
    9
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.10
    1:0.02
    2:0.08
    3:0.06
    4:0.04
    5:0.04
    6:0.12
    7:0.07
    8:0.26
    9:0.10
    10:0.03
    11:0.03
    Negative Logits
     Aboriginal
    -4.03
     TTC
    -3.96
     Louisiana
    -3.88
     Dominion
    -3.86
     Vaughan
    -3.73
     Trudeau
    -3.70
     Ontario
    -3.70
     Tribal
    -3.69
     Newfoundland
    -3.61
     Navajo
    -3.60
    POSITIVE LOGITS
     Dortmund
    8.85
     Bayern
    8.49
    ortmund
    7.68
     Bundesliga
    7.52
     Bav
    6.53
     Munich
    6.48
     Klopp
    5.74
     Mü
    5.54
     Bayer
    5.15
    Germany
    5.11
    Activations Density 0.014%

    No Known Activations