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    Explanations

    terms related to injuries and player positions in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L5_Hcat_z_lr1.20e-03_l11.00e+00_ds49152_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    49,152
    Data Type
    float32
    Hook Name
    blocks.5.attn.hook_z
    Hook Layer
    5
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.25
    1:0.03
    2:0.06
    3:0.10
    4:0.06
    5:0.04
    6:0.05
    7:0.03
    8:0.05
    9:0.06
    10:0.16
    11:0.05
    Negative Logits
     readers
    -1.87
    Times
    -1.82
    izens
    -1.58
     listeners
    -1.58
     Mahar
    -1.57
     Kind
    -1.56
     Tolkien
    -1.54
     Sang
    -1.53
     intim
    -1.52
     disclaim
    -1.52
    POSITIVE LOGITS
    cussion
    2.36
     calf
    1.92
    )=
    1.77
     groin
    1.71
    )/
    1.68
    yne
    1.64
     concussion
    1.62
    /*
    1.60
    functional
    1.60
    %)
    1.60
    Activations Density 0.003%

    No Known Activations