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

    negative evaluations of performance in basketball 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
    0:0.16
    1:0.06
    2:0.07
    3:0.06
    4:0.06
    5:0.02
    6:0.12
    7:0.13
    8:0.02
    9:0.05
    10:0.12
    11:0.08
    Negative Logits
     Chevy
    -2.91
     Theft
    -2.85
     Chevrolet
    -2.84
     Luthor
    -2.77
     Astros
    -2.74
     Crosby
    -2.73
    NFL
    -2.71
     Sack
    -2.70
     Orion
    -2.69
    Fle
    -2.69
    POSITIVE LOGITS
     monks
    7.03
     monk
    7.03
     monastery
    6.29
     Monk
    5.21
     nuns
    4.67
     nun
    4.64
     Buddhist
    4.33
     fri
    4.00
     convent
    3.81
     Abbey
    3.77
    Activations Density 0.009%

    No Known Activations