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    proper nouns related to specific locations or entities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L10_Hcat_z_lr1.20e-03_l11.30e+00_ds24576_bs4096_dc1.00e-05_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.10.attn.hook_z
    Hook Layer
    10
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Head Attr Weights
    0:0.08
    1:0.08
    2:0.08
    3:0.07
    4:0.09
    5:0.08
    6:0.08
    7:0.07
    8:0.08
    9:0.08
    10:0.08
    11:0.09
    Negative Logits
     tagging
    -2.81
    igent
    -2.61
    mining
    -2.56
    Node
    -2.53
     substr
    -2.52
     DOC
    -2.49
    tenance
    -2.49
    asive
    -2.45
    jen
    -2.40
    arcity
    -2.39
    POSITIVE LOGITS
     Waterloo
    3.13
     Ottoman
    3.08
     Lebanese
    2.90
    ►
    2.83
    û
    2.69
     Beirut
    2.67
     Classic
    2.65
     reincarn
    2.62
     Sheridan
    2.56
     Sherlock
    2.56
    Activations Density 0.000%

    No Known Activations