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    Explanations

    statistical performance metrics related to basketball players

    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
    0:0.03
    1:0.01
    2:0.03
    3:0.12
    4:0.03
    5:0.19
    6:0.02
    7:0.10
    8:0.28
    9:0.02
    10:0.05
    11:0.06
    Negative Logits
     Tuc
    -3.34
     Lans
    -2.78
     resil
    -2.72
    ÍÍ
    -2.71
    ovie
    -2.70
     Icelandic
    -2.70
    Mi
    -2.67
     Moff
    -2.65
     Julio
    -2.63
     Steelers
    -2.61
    POSITIVE LOGITS
     basket
    3.37
    agic
    3.35
    asketball
    3.28
     baskets
    3.27
     hoops
    3.22
     dun
    3.20
     Pacers
    3.07
     basketball
    3.05
     Pistons
    3.02
     Lakers
    3.01
    Activations Density 0.042%

    No Known Activations