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    Explanations

    terms related to disease control and prevention authorities, specifically the Centers for Disease Control and Prevention (CDC)

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

    references to health organizations, particularly the Centers for Disease Control and Prevention (CDC)

    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
    0:0.02
    1:0.05
    2:0.14
    3:0.15
    4:0.01
    5:0.02
    6:0.09
    7:0.10
    8:0.07
    9:0.14
    10:0.08
    11:0.08
    Negative Logits
    acl
    -1.27
     leap
    -1.17
    knit
    -1.16
    emouth
    -1.13
     subscribed
    -1.12
    rely
    -1.10
     convertible
    -1.10
    FY
    -1.07
     bribes
    -1.07
     terr
    -1.06
    POSITIVE LOGITS
    ukemia
    1.46
     Dise
    1.42
    ��
    1.38
     Diseases
    1.32
    tnc
    1.32
     Disease
    1.31
     Mutant
    1.30
    ersive
    1.28
    ailability
    1.26
    ainment
    1.26
    Activations Density 0.002%

    No Known Activations