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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 9-ATT-KK
    11. 2508
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    INDEX
    Explanations

    negative sentiments or outcomes in contexts related to sports and competition

    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
    0:0.03
    1:0.03
    2:0.03
    3:0.08
    4:0.03
    5:0.15
    6:0.03
    7:0.21
    8:0.07
    9:0.15
    10:0.10
    11:0.03
    Negative Logits
     999
    -2.84
    ces
    -2.30
    agues
    -2.29
    emouth
    -2.29
    itaire
    -2.26
     Brill
    -2.26
     960
    -2.23
    nings
    -2.23
     Fifa
    -2.23
    frac
    -2.22
    POSITIVE LOGITS
     Tatt
    2.50
    ionics
    2.35
     prost
    2.30
     sew
    2.29
     Kod
    2.28
    attach
    2.27
    Nik
    2.19
     advis
    2.16
     McA
    2.15
    ken
    2.14
    Activations Density 0.004%

    No Known Activations