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    Explanations

    instances of regulatory terms related to air and environmental policies

    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
    1:0.03
    2:0.05
    3:0.05
    4:0.05
    5:0.03
    6:0.34
    7:0.04
    8:0.04
    9:0.18
    10:0.03
    11:0.04
    Negative Logits
     Nep
    -3.76
     Polly
    -3.59
     nodes
    -3.40
     NRS
    -3.40
    NRS
    -3.38
     Satoshi
    -3.29
     torches
    -3.23
    ertodd
    -3.21
     Epstein
    -3.16
     node
    -3.15
    POSITIVE LOGITS
    Air
    8.32
     Air
    8.28
     AIR
    7.12
    air
    7.09
    AIR
    6.83
     Aer
    5.99
     air
    5.65
     Airport
    5.03
     Aircraft
    4.89
     Aerospace
    4.89
    Activations Density 0.018%

    No Known Activations