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    Explanations

    references to James Bond movies and their characteristics

    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
    0:0.12
    1:0.02
    2:0.13
    3:0.07
    4:0.05
    5:0.06
    6:0.09
    7:0.06
    8:0.19
    9:0.09
    10:0.03
    11:0.04
    Negative Logits
    �
    -4.25
    NPR
    -3.84
    �
    -3.50
     diaper
    -3.48
    okane
    -3.44
    Minnesota
    -3.34
    jer
    -3.33
    neapolis
    -3.33
    Oregon
    -3.27
    ormon
    -3.26
    POSITIVE LOGITS
     Bond
    7.51
     Spectre
    6.72
     Aston
    6.37
     Spy
    4.71
     Britons
    4.62
     McLaren
    4.61
     Quantum
    4.57
     Bonds
    4.55
     MI
    4.47
     KGB
    4.47
    Activations Density 0.009%

    No Known Activations