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    Explanations

    phrases related to law enforcement and infrastructure

    oai_token-act-pair · gpt-3.5-turbo
    Triggered 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
    Head Attr Weights
    0:0.04
    1:0.06
    2:0.19
    3:0.06
    4:0.07
    5:0.08
    6:0.03
    7:0.04
    8:0.06
    9:0.22
    10:0.07
    11:0.03
    Negative Logits
    ELY
    -1.43
    UTERS
    -1.42
    CLASSIFIED
    -1.40
    actionDate
    -1.37
    yip
    -1.37
    axter
    -1.31
    イト
    -1.30
    KK
    -1.30
     favourites
    -1.30
    MpServer
    -1.29
    POSITIVE LOGITS
     contamin
    1.55
     waste
    1.52
     Waste
    1.47
     dams
    1.47
    efficiency
    1.39
     contaminants
    1.39
     landfill
    1.37
     wastewater
    1.32
     sanitation
    1.30
     hazards
    1.29
    Activations Density 0.005%

    No Known Activations