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    Explanations

    words related to names, places, and medical events

    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
    0:0.12
    1:0.02
    2:0.42
    3:0.04
    4:0.08
    5:0.04
    6:0.03
    7:0.02
    8:0.04
    9:0.05
    10:0.06
    11:0.02
    Negative Logits
     absorb
    -1.31
     rupture
    -1.30
     occas
    -1.29
     doorstep
    -1.23
     fuse
    -1.23
     procure
    -1.19
    regn
    -1.17
     supply
    -1.16
     dotted
    -1.16
     abdom
    -1.12
    POSITIVE LOGITS
    ierrez
    1.89
    raltar
    1.71
    heit
    1.56
    veland
    1.53
    anamo
    1.46
    agall
    1.45
    osaurus
    1.41
    reau
    1.36
    osate
    1.35
    thood
    1.34
    Activations Density 0.042%

    No Known Activations