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    Explanations

    specific details and statistics related to automotive racing events and Ferrari's performance

    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
    0:0.24
    1:0.02
    2:0.06
    3:0.10
    4:0.04
    5:0.07
    6:0.03
    7:0.06
    8:0.27
    9:0.02
    10:0.02
    11:0.02
    Negative Logits
    adelphia
    -3.49
     Spokane
    -3.21
     UW
    -3.01
     Appalachian
    -2.85
    Wisconsin
    -2.83
    okane
    -2.83
    veland
    -2.81
     Kot
    -2.76
     Anchorage
    -2.73
     crochet
    -2.70
    POSITIVE LOGITS
     Ferrari
    5.88
     Ferr
    4.42
     McLaren
    4.15
     Jaguar
    3.94
    borgh
    3.86
     Fior
    3.81
     Giul
    3.76
     Fernando
    3.62
     Alonso
    3.60
     Formula
    3.48
    Activations Density 0.014%

    No Known Activations