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    INDEX
    Explanations

    proper nouns related to medical topics, such as diseases, healthcare workers, and government officials

    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
    0:0.05
    1:0.03
    2:0.32
    3:0.08
    4:0.14
    5:0.03
    6:0.02
    7:0.03
    8:0.06
    9:0.11
    10:0.05
    11:0.02
    Negative Logits
    wcs
    -1.82
     condol
    -1.40
    misc
    -1.22
    behind
    -1.18
     NTS
    -1.18
    .?
    -1.17
    mill
    -1.14
    �
    -1.14
    frames
    -1.13
    material
    -1.13
    POSITIVE LOGITS
    tein
    1.56
    istas
    1.54
    eers
    1.48
    iste
    1.41
    ktop
    1.40
    tarians
    1.38
     Zone
    1.36
     Guy
    1.30
    ombat
    1.29
     Abbey
    1.23
    Activations Density 0.002%

    No Known Activations