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    5. GPT2-Small
    7. Attention Out
    9. 9-ATT-KK
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    INDEX
    Explanations

    concepts related to laundry and its handling processes

    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
    0:0.32
    1:0.02
    2:0.20
    3:0.06
    4:0.02
    5:0.06
    6:0.05
    7:0.03
    8:0.03
    9:0.06
    10:0.05
    11:0.03
    Negative Logits
     Sas
    -3.37
     Bigfoot
    -3.35
     Pix
    -3.09
     scorp
    -2.90
    inosaur
    -2.87
    Psy
    -2.81
     Skull
    -2.78
     Scorpion
    -2.68
     psychedelic
    -2.67
     Quake
    -2.62
    POSITIVE LOGITS
    aund
    4.92
     laundry
    4.89
     laund
    4.62
    washer
    4.06
     washing
    3.79
    washing
    3.37
     sorting
    3.13
     laundering
    3.09
     cleaners
    3.08
     soap
    3.04
    Activations Density 0.002%

    No Known Activations