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    Explanations

    elements related to urban bike infrastructure and safety

    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
    0:0.20
    1:0.02
    2:0.17
    3:0.09
    4:0.05
    5:0.08
    6:0.10
    7:0.05
    8:0.04
    9:0.08
    10:0.05
    11:0.02
    Negative Logits
    ueller
    -2.85
    Money
    -2.81
     Debt
    -2.72
    Psych
    -2.69
     Hutch
    -2.67
    Surv
    -2.67
     Happiness
    -2.64
    cult
    -2.62
     Crime
    -2.62
     Mineral
    -2.61
    POSITIVE LOGITS
     lanes
    5.32
     lane
    5.29
    lane
    4.96
     bicycl
    3.67
     Lane
    3.67
     cones
    3.35
     interchange
    3.20
     segregated
    3.20
     junction
    3.12
     cyclists
    3.10
    Activations Density 0.007%

    No Known Activations