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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 9-ATT-KK
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    Explanations

    mentions of players and their performance in a sports context

    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
    0:0.09
    1:0.02
    2:0.05
    3:0.05
    4:0.05
    5:0.05
    6:0.11
    7:0.07
    8:0.33
    9:0.07
    10:0.02
    11:0.04
    Negative Logits
    Mexico
    -3.92
     Rossi
    -3.89
     Lara
    -3.74
     Mexicans
    -3.68
     Giov
    -3.64
    Italy
    -3.54
     Mexican
    -3.54
    Mex
    -3.53
    Rub
    -3.51
     Fiesta
    -3.49
    POSITIVE LOGITS
     Hawks
    8.47
     Blackhawks
    6.87
     Atlanta
    4.79
     Hawk
    4.54
    Atlanta
    4.53
    awks
    4.39
     Hank
    4.15
     Hitchcock
    4.15
    Chicago
    4.12
     Gw
    4.11
    Activations Density 0.007%

    No Known Activations