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    Explanations

    references to fencing 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 @ 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
    0:0.21
    1:0.06
    2:0.03
    3:0.08
    4:0.06
    5:0.04
    6:0.14
    7:0.06
    8:0.03
    9:0.09
    10:0.10
    11:0.05
    Negative Logits
    Pod
    -3.41
     Query
    -3.27
     McK
    -3.22
     Exxon
    -3.16
    dylib
    -3.05
     Podesta
    -2.96
     Bagg
    -2.94
     McD
    -2.92
     Launch
    -2.79
     Pluto
    -2.79
    POSITIVE LOGITS
     fencing
    6.51
     Chun
    4.24
    Sword
    3.93
     Ryu
    3.71
     spectator
    3.65
     sword
    3.61
     sab
    3.58
     Sword
    3.45
     Cheong
    3.45
     fences
    3.44
    Activations Density 0.002%

    No Known Activations