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    5. GPT2-Small
    7. Attention Out
    9. 9-ATT-KK
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    Explanations

    words associated with urban communities and their issues

    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
    0:0.07
    1:0.03
    2:0.08
    3:0.05
    4:0.04
    5:0.05
    6:0.09
    7:0.05
    8:0.33
    9:0.07
    10:0.03
    11:0.06
    Negative Logits
    ã
    -3.97
     Hume
    -3.90
     Ney
    -3.54
     Lima
    -3.51
     exorc
    -3.40
     Uruguay
    -3.40
     Heisman
    -3.37
    Brazil
    -3.35
     Peru
    -3.33
     Sutherland
    -3.30
    POSITIVE LOGITS
     Brooklyn
    8.05
    Brook
    7.33
     Barclays
    6.41
     borough
    5.96
     Nets
    5.70
     Queens
    5.67
     Staten
    5.31
     Bronx
    5.30
     Borough
    5.27
    Williams
    4.18
    Activations Density 0.018%

    No Known Activations