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    Explanations

    references to youth demographics and their involvement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L10_Hcat_z_lr1.20e-03_l11.30e+00_ds24576_bs4096_dc1.00e-05_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.10.attn.hook_z
    Hook Layer
    10
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.06
    1:0.08
    2:0.06
    3:0.06
    4:0.07
    5:0.03
    6:0.08
    7:0.31
    8:0.03
    9:0.05
    10:0.06
    11:0.06
    Negative Logits
     teens
    -5.93
     Teen
    -5.88
    Teen
    -5.62
     teenagers
    -5.59
     teen
    -5.39
     teenage
    -5.21
     adolescents
    -4.88
     teenager
    -4.87
     adolescent
    -4.67
     youth
    -4.54
    POSITIVE LOGITS
     Correction
    3.64
    othe
    3.25
    NG
    3.23
     Lug
    3.22
     Physicians
    3.20
    gn
    3.16
    GN
    3.09
    Hug
    3.05
    gru
    3.01
     NX
    2.99
    Activations Density 0.002%

    No Known Activations