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    Explanations

    references to age and player statistics in a sports context

    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
    0:0.06
    1:0.02
    2:0.10
    3:0.24
    4:0.02
    5:0.27
    6:0.02
    7:0.03
    8:0.11
    9:0.02
    10:0.05
    11:0.01
    Negative Logits
     Haram
    -2.42
     Salman
    -2.42
    ezvous
    -2.27
     petitions
    -2.20
     Gawker
    -2.12
     approvals
    -2.09
     Aad
    -2.08
    earchers
    -2.06
     Tinder
    -2.06
    bots
    -2.01
    POSITIVE LOGITS
     infield
    2.61
     Celtic
    2.33
     midfielder
    2.31
     winger
    2.22
     goalkeeper
    2.19
     striker
    2.17
    Thumbnail
    2.16
    obile
    2.11
     fullback
    2.10
     versatile
    2.08
    Activations Density 0.015%

    No Known Activations