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    Explanations

    references to streets or urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L3_Hcat_z_lr1.20e-03_l19.00e-01_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.3.attn.hook_z
    Hook Layer
    3
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.02
    1:0.03
    2:0.04
    3:0.05
    4:0.02
    5:0.05
    6:0.12
    7:0.31
    8:0.05
    9:0.05
    10:0.09
    11:0.10
    Negative Logits
    opsis
    -1.41
    neau
    -1.38
    renheit
    -1.35
     Canaver
    -1.31
    utenberg
    -1.22
    ueller
    -1.22
    reau
    -1.18
    eri
    -1.18
    umeric
    -1.17
    kus
    -1.16
    POSITIVE LOGITS
     passers
    1.32
     neighbourhoods
    1.27
     plaza
    1.23
     malls
    1.22
     highways
    1.21
     Civic
    1.21
     pedestrians
    1.20
     ambul
    1.15
     sidewalks
    1.14
     neighborhoods
    1.11
    Activations Density 0.031%

    No Known Activations