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    Explanations

    questions about player selection and performance in sports contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Head Attr Weights
    0:0.03
    1:0.03
    2:0.06
    3:0.15
    4:0.07
    5:0.07
    6:0.03
    7:0.03
    8:0.05
    9:0.13
    10:0.19
    11:0.11
    Negative Logits
     compan
    -1.41
    .<
    -1.39
    ['
    -1.38
    cens
    -1.37
    ).[
    -1.33
    administ
    -1.33
     accomp
    -1.32
     acknowled
    -1.30
    ."[
    -1.29
    xual
    -1.23
    POSITIVE LOGITS
     Prediction
    1.79
     Bottom
    1.51
     matchup
    1.38
     Podcast
    1.36
     Rodgers
    1.28
     matchups
    1.28
     Picks
    1.27
     QB
    1.27
     Philly
    1.24
     offseason
    1.24
    Activations Density 0.288%

    No Known Activations