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    Explanations

    references to teams and players in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.04
    1:0.02
    2:0.03
    3:0.05
    4:0.04
    5:0.05
    6:0.05
    7:0.04
    8:0.01
    9:0.15
    10:0.02
    11:0.43
    Negative Logits
    oros
    -2.21
    myra
    -2.14
     tradem
    -2.07
     accuser
    -2.02
    apor
    -2.01
    pling
    -1.98
     coasts
    -1.94
    schild
    -1.94
    urb
    -1.91
     dams
    -1.91
    POSITIVE LOGITS
     lineup
    3.43
     squad
    3.14
     squads
    2.98
     rotation
    2.92
     pant
    2.69
     roster
    2.63
     wardrobe
    2.62
     Squad
    2.42
     backfield
    2.42
     ranks
    2.39
    Activations Density 0.095%

    No Known Activations