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    Explanations

    references to Typhoon Yolanda and its impact

    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
    0:0.16
    1:0.02
    2:0.14
    3:0.07
    4:0.03
    5:0.08
    6:0.03
    7:0.04
    8:0.27
    9:0.04
    10:0.04
    11:0.03
    Negative Logits
    Denver
    -4.06
    displayText
    -3.25
    Wisconsin
    -3.14
     Rutherford
    -3.03
     fireplace
    -3.02
     Morton
    -2.99
     Mason
    -2.98
    Madison
    -2.97
     Comey
    -2.97
    Colorado
    -2.91
    POSITIVE LOGITS
     Typhoon
    5.78
     typh
    5.26
     Philippines
    5.06
     Hai
    4.70
     Taiwanese
    4.59
     Filipino
    4.51
     Myanmar
    4.45
     Philippine
    4.39
    Tai
    4.30
     Thailand
    4.22
    Activations Density 0.004%

    No Known Activations