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    Explanations

    specific team names and scores related to sports events

    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
    2:0.20
    3:0.20
    4:0.03
    5:0.02
    6:0.05
    7:0.05
    8:0.09
    9:0.12
    10:0.07
    11:0.06
    Negative Logits
    shire
    -1.19
    bys
    -1.18
    mingham
    -1.17
    Í
    -1.16
    ndra
    -1.08
     actionGroup
    -1.07
     dodged
    -1.05
     Gorge
    -1.05
    NB
    -1.04
     Sao
    -1.02
    POSITIVE LOGITS
     parity
    1.23
    MpServer
    1.15
     equilibrium
    1.03
    VIDIA
    1.01
    avery
    1.00
     consum
    0.96
     valuation
    0.96
    olphins
    0.95
    thur
    0.95
    assis
    0.94
    Activations Density 0.010%

    No Known Activations