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    2. Under Peer Review · Attention SAE Research Paper
    3. GPT2-Small
    4. Attention Out
    5. 9-ATT-KK
    6. 17096
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    INDEX
    Explanations

    references to specific teams and their statistics in sports contexts

    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
    2:0.07
    3:0.05
    4:0.03
    5:0.05
    6:0.07
    7:0.06
    8:0.40
    9:0.05
    10:0.03
    11:0.03
    Negative Logits
     Jakarta
    -4.64
     Malays
    -4.58
     Indones
    -4.51
     Indonesia
    -4.25
     Malaysia
    -4.08
     Indonesian
    -4.07
     Malaysian
    -4.05
     Aboriginal
    -4.00
     mango
    -3.92
     Brune
    -3.82
    POSITIVE LOGITS
     Steelers
    8.10
    Steel
    5.77
     Pittsburgh
    5.71
    Pitt
    5.21
    sburgh
    4.73
     Ravens
    4.68
     PIT
    4.49
     Steel
    4.35
     Bengals
    4.15
     Marino
    4.11
    Activations Density 0.005%

    No Known Activations