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    Explanations

    references to football (soccer) players, their positions, and related statistics

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Head Attr Weights
    0:0.34
    1:0.04
    2:0.05
    3:0.06
    4:0.13
    5:0.04
    6:0.05
    7:0.06
    8:0.02
    9:0.06
    10:0.04
    11:0.05
    Negative Logits
     Shir
    -3.37
     Summers
    -3.23
     Palin
    -3.22
     Anchorage
    -3.13
    NetMessage
    -3.09
     molten
    -3.01
     Hunts
    -3.00
    Anim
    -2.96
     atomic
    -2.95
     Alaska
    -2.93
    POSITIVE LOGITS
     FIFA
    6.02
     soccer
    5.82
     Soccer
    5.81
     Messi
    5.74
     UEFA
    5.50
     MLS
    5.23
     Bundesliga
    5.08
     Bayern
    5.07
     Guardiola
    5.02
     Liga
    4.97
    Activations Density 0.436%

    No Known Activations