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    Explanations

    words related to specific names associated with books and content about medical conditions

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

    terms associated with medical and biological conditions, particularly those related to substances and diseases

    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
    1:0.05
    2:0.07
    3:0.31
    4:0.02
    5:0.03
    6:0.07
    7:0.08
    8:0.05
    9:0.07
    10:0.07
    11:0.08
    Negative Logits
    WARD
    -1.38
    utterstock
    -1.30
    erness
    -1.26
    jriwal
    -1.26
     Shutterstock
    -1.21
    iage
    -1.18
    pport
    -1.17
    ��
    -1.17
    vironment
    -1.15
    FUL
    -1.10
    POSITIVE LOGITS
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    1.24
     Flavoring
    1.15
    将
    1.14
    cise
    1.12
     pus
    1.09
    algia
    1.09
    otide
    1.04
    >>>>
    1.04
    Chat
    1.04
    ��
    1.02
    Activations Density 0.024%

    No Known Activations