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    INDEX
    Explanations

    specific player names and positional rankings in sports contexts

    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
    0:0.05
    1:0.02
    2:0.06
    3:0.16
    4:0.05
    5:0.07
    6:0.04
    7:0.09
    8:0.25
    9:0.03
    10:0.08
    11:0.05
    Negative Logits
     separatists
    -3.25
     separatist
    -3.08
     relegation
    -2.81
     Madrid
    -2.80
     cricket
    -2.76
     conced
    -2.70
     racket
    -2.65
     Manila
    -2.52
     ATP
    -2.52
     Kag
    -2.51
    POSITIVE LOGITS
    �醒
    3.47
     Packers
    3.43
     Texans
    3.36
    Tex
    3.23
    hews
    3.10
    NFL
    3.06
     Bills
    3.05
    Tenn
    2.98
     Stacy
    2.98
     Colts
    2.95
    Activations Density 0.119%

    No Known Activations