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    Explanations

    statistical performance metrics in sports contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    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
    Head Attr Weights
    0:0.02
    1:0.02
    2:0.22
    3:0.10
    4:0.10
    5:0.03
    6:0.02
    7:0.05
    8:0.07
    9:0.07
    10:0.13
    11:0.12
    Negative Logits
    dit
    -1.20
     hither
    -1.14
    ANT
    -1.13
    ugu
    -1.13
    ARCH
    -1.13
    hai
    -1.11
    rag
    -1.09
    vier
    -1.08
    apa
    -1.08
    atom
    -1.07
    POSITIVE LOGITS
     Penalty
    1.38
     apiece
    1.36
     averaged
    1.35
     earning
    1.28
     innings
    1.25
     Defensive
    1.24
     averaging
    1.24
     earn
    1.23
     Bulldogs
    1.18
     finishes
    1.15
    Activations Density 0.247%

    No Known Activations