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    Explanations

    quantitative performance metrics related to athletes in various sports

    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
    0:0.03
    1:0.03
    2:0.04
    3:0.06
    4:0.04
    5:0.31
    6:0.02
    7:0.04
    8:0.04
    9:0.30
    10:0.02
    11:0.02
    Negative Logits
     realise
    -2.63
     begun
    -2.45
    staking
    -2.40
     Already
    -2.40
    Temperature
    -2.35
     commence
    -2.33
     urgently
    -2.29
     doubtless
    -2.29
    >>>>>>>>
    -2.24
     SHALL
    -2.20
    POSITIVE LOGITS
     per
    3.29
     versus
    3.15
    vs
    3.05
     each
    2.99
     vs
    2.96
     compared
    2.79
     actionGroup
    2.71
     plus
    2.68
     every
    2.64
     annually
    2.58
    Activations Density 0.024%

    No Known Activations