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    9. 2-ATT-KK
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    Explanations

    women's names in a specific context along with phrases related to a legal or police-related situation

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    names of individuals, particularly those related to notable events or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L2_Hcat_z_lr1.20e-03_l11.00e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v4.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.2.attn.hook_z
    Hook Layer
    2
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.05
    1:0.06
    2:0.07
    3:0.09
    4:0.03
    5:0.10
    6:0.03
    7:0.03
    8:0.27
    9:0.12
    10:0.09
    11:0.02
    Negative Logits
     Warfare
    -1.43
    omsday
    -1.31
    ihilation
    -1.29
    opter
    -1.25
    Sphere
    -1.20
     rollout
    -1.19
    llular
    -1.18
    ourses
    -1.17
    NetMessage
    -1.17
    verage
    -1.16
    POSITIVE LOGITS
    law
    1.31
     Ramirez
    1.25
     died
    1.20
    iah
    1.19
     alike
    1.16
     Gilmore
    1.13
     Rudolph
    1.12
     recalls
    1.11
     bride
    1.11
     Sus
    1.11
    Activations Density 0.111%

    No Known Activations