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    7. Attention Out
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    Explanations

    details related to waste management and environmental pollution

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to waste management and recycling processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L3_Hcat_z_lr1.20e-03_l19.00e-01_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.3.attn.hook_z
    Hook Layer
    3
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.03
    1:0.02
    2:0.06
    3:0.09
    4:0.02
    5:0.06
    6:0.10
    7:0.32
    8:0.06
    9:0.03
    10:0.08
    11:0.06
    Negative Logits
    actionDate
    -1.26
    ¯¯
    -1.19
    DonaldTrump
    -1.16
    Ultimate
    -1.10
     Vend
    -1.09
    Race
    -1.07
     squared
    -1.06
    inventoryQuantity
    -1.05
    iHUD
    -1.05
    ゴン
    -1.04
    POSITIVE LOGITS
    processing
    1.38
     landfill
    1.35
     waste
    1.31
     wastewater
    1.31
     ponds
    1.25
     harvesting
    1.24
     contamin
    1.21
    storage
    1.20
     recycling
    1.20
     dried
    1.18
    Activations Density 0.048%

    No Known Activations