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    Explanations

    negative outcomes and setbacks 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
    0:0.05
    1:0.05
    2:0.03
    3:0.15
    4:0.03
    5:0.06
    6:0.02
    7:0.25
    8:0.09
    9:0.06
    10:0.11
    11:0.04
    Negative Logits
    slaught
    -2.19
     compete
    -2.18
    ilege
    -2.18
    ournaments
    -2.11
     sport
    -2.09
    gre
    -2.06
     franch
    -2.02
    hemoth
    -2.00
    phia
    -2.00
     commod
    -1.97
    POSITIVE LOGITS
     Opinion
    2.57
    OIL
    2.19
     Map
    2.06
    Footnote
    2.04
     annotations
    1.94
    ihara
    1.91
     Drawn
    1.90
     Parameters
    1.89
     Manga
    1.88
    �
    1.87
    Activations Density 0.016%

    No Known Activations