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    Explanations

    references to officiating and referees in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L5_Hcat_z_lr1.20e-03_l11.00e+00_ds49152_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    49,152
    Data Type
    float32
    Hook Name
    blocks.5.attn.hook_z
    Hook Layer
    5
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.03
    1:0.02
    2:0.05
    3:0.06
    4:0.05
    5:0.04
    6:0.02
    7:0.05
    8:0.03
    9:0.07
    10:0.37
    11:0.14
    Negative Logits
    reprene
    -1.70
    ILA
    -1.59
    ebted
    -1.59
    osponsors
    -1.53
    cash
    -1.52
    Market
    -1.51
    natureconservancy
    -1.50
    asin
    -1.50
    coins
    -1.47
    rencies
    -1.47
    POSITIVE LOGITS
     referee
    1.88
     misconduct
    1.73
     referees
    1.69
     interference
    1.60
     adjud
    1.54
     eject
    1.53
     tampering
    1.49
     clipboard
    1.46
     negligence
    1.46
     suppression
    1.42
    Activations Density 0.097%

    No Known Activations