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    Explanations

    evaluations of player performance 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
    0:0.06
    1:0.03
    2:0.03
    3:0.06
    4:0.08
    5:0.05
    6:0.06
    7:0.05
    8:0.02
    9:0.15
    10:0.03
    11:0.32
    Negative Logits
     meetings
    -2.94
     ceremonies
    -2.82
     assemblies
    -2.75
     gatherings
    -2.73
     edits
    -2.69
     associations
    -2.68
     weddings
    -2.67
    skirts
    -2.67
     prohibitions
    -2.66
     offices
    -2.64
    POSITIVE LOGITS
     sleeper
    3.45
     starter
    3.39
     contender
    3.34
     player
    3.32
     superstar
    3.13
     Starter
    3.09
    player
    2.98
     fielder
    2.95
     talent
    2.94
     shortstop
    2.92
    Activations Density 0.205%

    No Known Activations