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    Explanations

    phrases related to vehicular incidents and traffic control

    oai_token-act-pair · gpt-3.5-turboTriggered 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
    1:0.05
    2:0.19
    3:0.07
    4:0.21
    5:0.04
    6:0.04
    7:0.02
    8:0.05
    9:0.12
    10:0.07
    11:0.03
    Negative Logits
    pson
    -1.48
    inately
    -1.38
     Scholars
    -1.30
    yip
    -1.24
    sec
    -1.23
     "$:/
    -1.22
    hak
    -1.20
    ilan
    -1.20
     Franc
    -1.18
     Scorp
    -1.16
    POSITIVE LOGITS
     destruction
    1.77
    soever
    1.60
     obstruction
    1.43
     veh
    1.37
     labor
    1.31
     destro
    1.30
     hazardous
    1.30
     mayhem
    1.29
     transportation
    1.27
     drivers
    1.25
    Activations Density 0.001%

    No Known Activations