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    4. Attention Out
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    Explanations

    terms related to architecture and its impact on urban landscapes

    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
    0:0.03
    1:0.03
    2:0.05
    3:0.08
    4:0.03
    5:0.06
    6:0.11
    7:0.30
    8:0.05
    9:0.03
    10:0.08
    11:0.09
    Negative Logits
    tein
    -1.56
    zeb
    -1.29
    illet
    -1.25
    volent
    -1.23
    coni
    -1.20
     NET
    -1.18
     msec
    -1.16
    poon
    -1.16
    ruary
    -1.14
    OUP
    -1.14
    POSITIVE LOGITS
     grav
    1.49
     landscapes
    1.40
    icons
    1.27
     amen
    1.25
     manageable
    1.24
     habitats
    1.23
     skysc
    1.19
    natureconservancy
    1.16
     continents
    1.16
     pav
    1.15
    Activations Density 0.010%

    No Known Activations