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    Explanations

    team names and their performance in sports contexts

    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
    0:0.06
    1:0.05
    2:0.13
    3:0.06
    4:0.03
    5:0.11
    6:0.04
    7:0.06
    8:0.05
    9:0.19
    10:0.12
    11:0.05
    Negative Logits
    intel
    -1.31
     compan
    -1.26
     interpreter
    -1.12
     oneself
    -1.04
     analogy
    -1.03
     gard
    -1.02
    course
    -0.99
    nah
    -0.99
     econom
    -0.97
     pow
    -0.97
    POSITIVE LOGITS
    ukong
    1.41
    olphins
    1.37
    igers
    1.37
    ampions
    1.34
    etheless
    1.30
     respectively
    1.22
    rafted
    1.21
    venge
    1.19
     Championship
    1.16
    士
    1.15
    Activations Density 0.124%

    No Known Activations