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    Explanations

    names of legal professionals and judges

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L2_Hcat_z_lr1.20e-03_l11.00e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v4.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.2.attn.hook_z
    Hook Layer
    2
    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
    2:0.13
    3:0.09
    4:0.12
    5:0.09
    6:0.03
    7:0.03
    8:0.15
    9:0.16
    10:0.05
    11:0.02
    Negative Logits
    yip
    -1.33
    ustainable
    -1.29
     flirt
    -1.28
    idated
    -1.22
     strut
    -1.21
    essage
    -1.17
    olor
    -1.17
     rejuven
    -1.14
    oother
    -1.14
    entary
    -1.13
    POSITIVE LOGITS
    Judge
    1.65
     Jury
    1.54
    �士
    1.44
     RELE
    1.41
     Direction
    1.37
     Farrell
    1.33
     LLP
    1.30
     Judge
    1.29
     Conduct
    1.28
     Rae
    1.27
    Activations Density 0.020%

    No Known Activations