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    Explanations

    descriptions and details about incidents involving elderly individuals or couples

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L2_Hcat_z_lr1.20e-03_l11.00e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v4.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.2.attn.hook_z
    Hook Layer
    2
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.08
    1:0.06
    2:0.14
    3:0.06
    4:0.08
    5:0.05
    6:0.03
    7:0.05
    8:0.08
    9:0.19
    10:0.07
    11:0.04
    Negative Logits
    ciation
    -1.66
     Collider
    -1.50
    ヴァ
    -1.48
    isSpecialOrderable
    -1.46
    フォ
    -1.43
    ══
    -1.37
    ═
    -1.37
    Offline
    -1.35
     Entertainment
    -1.28
    soDeliveryDate
    -1.27
    POSITIVE LOGITS
     frail
    1.75
     nursing
    1.73
     elderly
    1.71
     nurse
    1.68
     retirees
    1.57
     Nurs
    1.41
     ana
    1.41
     dementia
    1.41
     pension
    1.41
     nurses
    1.37
    Activations Density 0.008%

    No Known Activations