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    7. Attention Out
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    Explanations

    instances of regulatory actions and penalties related to financial misconduct

    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
    1:0.02
    2:0.08
    3:0.03
    4:0.05
    5:0.02
    6:0.31
    7:0.03
    8:0.07
    9:0.23
    10:0.02
    11:0.02
    Negative Logits
    bending
    -3.90
    eria
    -3.82
     rabbit
    -3.67
     poaching
    -3.62
     Gum
    -3.60
     poke
    -3.57
     Yosemite
    -3.51
     Zhao
    -3.50
     Howe
    -3.46
     Gilbert
    -3.46
    POSITIVE LOGITS
     Mass
    9.44
    Mass
    9.33
    mass
    8.04
     mass
    5.88
     Massachusetts
    5.34
     Massacre
    4.51
     Commonwealth
    4.44
    romeda
    4.37
     McGill
    4.11
     masses
    4.02
    Activations Density 0.007%

    No Known Activations