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    INDEX
    Explanations

    instances of the word "ruin" and its derivatives in relation to negative outcomes for individuals or communities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L5_Hcat_z_lr1.20e-03_l11.00e+00_ds49152_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    49,152
    Data Type
    float32
    Hook Name
    blocks.5.attn.hook_z
    Hook Layer
    5
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Head Attr Weights
    0:0.01
    1:0.01
    2:0.06
    3:0.07
    4:0.15
    5:0.03
    6:0.05
    7:0.41
    8:0.03
    9:0.03
    10:0.05
    11:0.05
    Negative Logits
    iscopal
    -1.95
    DragonMagazine
    -1.92
    quickShipAvailable
    -1.88
    orney
    -1.87
    catentry
    -1.86
    soType
    -1.79
    etermined
    -1.72
    isSpecialOrderable
    -1.65
    eely
    -1.63
    controlled
    -1.62
    POSITIVE LOGITS
     Khe
    1.68
     lives
    1.62
     tarn
    1.53
     ruining
    1.52
     Sach
    1.52
     screws
    1.51
     ru
    1.49
     watering
    1.48
     scenes
    1.48
     badly
    1.46
    Activations Density 0.003%

    No Known Activations