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    2. Under Peer Review · Attention SAE Research Paper
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    4. Attention Out
    5. 9-ATT-KK
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    Explanations

    mentions of racing events and drivers' performances

    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
    0:0.11
    1:0.02
    2:0.11
    3:0.09
    4:0.03
    5:0.05
    6:0.03
    7:0.05
    8:0.37
    9:0.02
    10:0.04
    11:0.02
    Negative Logits
     basketball
    -3.23
     scrimmage
    -3.18
     Basketball
    -2.95
     Pacers
    -2.71
     Sixers
    -2.66
     Blazers
    -2.62
     Bullets
    -2.59
     NBA
    -2.59
     Luck
    -2.57
     Heisman
    -2.56
    POSITIVE LOGITS
     Toro
    3.04
    utsche
    2.87
    verty
    2.64
     Franç
    2.56
     Sau
    2.56
    chen
    2.50
    ques
    2.49
     Ges
    2.49
    É
    2.49
    enf
    2.47
    Activations Density 0.178%

    No Known Activations