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    Explanations

    details regarding burglary incidents and the related circumstances

    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
    0:0.22
    1:0.03
    2:0.23
    3:0.07
    4:0.04
    5:0.11
    6:0.06
    7:0.05
    8:0.04
    9:0.05
    10:0.03
    11:0.02
    Negative Logits
     rides
    -2.71
     riders
    -2.63
     JR
    -2.61
     Genocide
    -2.54
     passengers
    -2.48
     Riders
    -2.46
     trains
    -2.43
    river
    -2.40
     passenger
    -2.40
     Cruise
    -2.38
    POSITIVE LOGITS
     burgl
    4.55
     burglary
    4.39
     burg
    4.34
     homeowner
    3.84
     intruder
    3.70
     homeowners
    3.14
     Benson
    2.85
     Burg
    2.83
     tenant
    2.81
     intr
    2.79
    Activations Density 0.004%

    No Known Activations