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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 10-ATT-KK
    11. 21809
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    Explanations

    references to offensive line performance and competition in football 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
    0:0.35
    1:0.07
    2:0.05
    3:0.04
    4:0.05
    5:0.03
    6:0.07
    7:0.12
    8:0.02
    9:0.04
    10:0.06
    11:0.05
    Negative Logits
     ether
    -3.99
     Koen
    -3.84
    Flight
    -3.80
     Ether
    -3.78
     Meteor
    -3.68
     Alm
    -3.64
     aviation
    -3.63
     pige
    -3.61
     Audi
    -3.60
     mosqu
    -3.56
    POSITIVE LOGITS
     linemen
    4.78
     lineman
    4.74
     blocker
    4.10
     RG
    4.00
     blockers
    3.72
     tackle
    3.60
     Torch
    3.40
     Oro
    3.37
    Steel
    3.32
    tackle
    3.32
    Activations Density 0.021%

    No Known Activations