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    Explanations

    references to the concept of quality in urban planning

    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
    2:0.09
    3:0.07
    4:0.08
    5:0.08
    6:0.08
    7:0.09
    8:0.08
    9:0.08
    10:0.08
    11:0.07
    Negative Logits
    ariat
    -2.95
     ­
    -2.82
     Lebanon
    -2.64
     Nobel
    -2.52
    iasis
    -2.42
    ublic
    -2.34
     telecommunications
    -2.31
     Browne
    -2.31
     Lebanese
    -2.31
     universities
    -2.30
    POSITIVE LOGITS
     Jae
    3.08
     Gry
    2.99
     Severus
    2.89
     Rack
    2.75
     Joker
    2.75
     Pyrrha
    2.74
     Dragonbound
    2.71
     Sz
    2.67
     sche
    2.65
     Poké
    2.63
    Activations Density 0.000%

    No Known Activations