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    Explanations

    terms related to video and body cameras in law enforcement contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-att-kk
    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
    Head Attr Weights
    0:0.04
    1:0.03
    2:0.10
    3:0.06
    4:0.06
    5:0.04
    6:0.05
    7:0.06
    8:0.05
    9:0.04
    10:0.33
    11:0.10
    Negative Logits
     Saur
    -1.73
    achine
    -1.71
    �
    -1.68
    inus
    -1.68
    lamm
    -1.67
     Ruin
    -1.67
    nil
    -1.63
    aceae
    -1.59
     capitals
    -1.59
     dwelling
    -1.54
    POSITIVE LOGITS
     nationwide
    1.96
     screenings
    1.88
     compulsory
    1.83
     quotas
    1.82
     screening
    1.75
     rewritten
    1.68
     disproportionately
    1.63
     recordings
    1.63
     mandate
    1.62
     nationally
    1.61
    Activations Density 0.000%

    No Known Activations