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    Explanations

    statistics and numerical comparisons 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 @ 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
    Head Attr Weights
    0:0.37
    1:0.02
    2:0.05
    3:0.14
    4:0.02
    5:0.03
    6:0.02
    7:0.04
    8:0.12
    9:0.03
    10:0.09
    11:0.03
    Negative Logits
     skating
    -2.55
     editorial
    -2.45
     galleries
    -2.41
    Cla
    -2.41
     readers
    -2.40
     publishing
    -2.36
     illust
    -2.34
     separat
    -2.31
     Editors
    -2.28
     Denmark
    -2.25
    POSITIVE LOGITS
     interception
    3.09
     interceptions
    2.94
    throw
    2.84
    catch
    2.65
     intercepted
    2.56
     toss
    2.44
    ��
    2.42
     throws
    2.38
     Seym
    2.33
     thrown
    2.30
    Activations Density 0.016%

    No Known Activations