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    Explanations

    players and their statistics in professional sports contexts

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

    No Comments

    Head Attr Weights
    0:0.08
    1:0.02
    2:0.10
    3:0.08
    4:0.03
    5:0.07
    6:0.02
    7:0.07
    8:0.37
    9:0.03
    10:0.03
    11:0.04
    Negative Logits
     Florence
    -3.00
     pastoral
    -2.86
     convent
    -2.79
    combe
    -2.76
    ciples
    -2.70
    aiden
    -2.68
     Corinth
    -2.65
     Methodist
    -2.63
     ordained
    -2.54
    aroo
    -2.54
    POSITIVE LOGITS
     NHL
    4.18
     Capitals
    4.12
     Iceland
    4.03
     Canucks
    3.90
     linem
    3.83
     Icelandic
    3.80
    Ice
    3.55
     hockey
    3.48
     Greenland
    3.42
     Kazakhstan
    3.30
    Activations Density 0.083%

    No Known Activations