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    Explanations

    terms related to different cultural or entertainment industries

    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
    0:0.07
    1:0.06
    2:0.13
    3:0.04
    4:0.04
    5:0.06
    6:0.09
    7:0.06
    8:0.16
    9:0.05
    10:0.09
    11:0.08
    Negative Logits
    ))))
    -1.38
    ient
    -1.31
    needed
    -1.31
    iago
    -1.20
    installed
    -1.20
    ARGET
    -1.20
     )))
    -1.18
    milo
    -1.18
    onis
    -1.15
    aughtered
    -1.15
    POSITIVE LOGITS
     contexts
    1.89
     circles
    1.74
     arenas
    1.68
     realm
    1.67
     context
    1.63
     folklore
    1.61
     academia
    1.57
     environments
    1.55
     realms
    1.52
     jargon
    1.45
    Activations Density 0.145%

    No Known Activations