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    5. GPT2-Small
    7. Attention Out
    9. 10-ATT-KK
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    INDEX
    Explanations

    components related to training processes and their effectiveness

    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
    0:0.15
    1:0.04
    2:0.04
    3:0.07
    4:0.06
    5:0.02
    6:0.32
    7:0.09
    8:0.01
    9:0.04
    10:0.04
    11:0.07
    Negative Logits
    estate
    -3.42
     veto
    -3.20
    cade
    -2.86
    govtrack
    -2.71
     creditor
    -2.68
    panel
    -2.68
    hedon
    -2.67
    Issue
    -2.66
     elector
    -2.66
     Gawker
    -2.59
    POSITIVE LOGITS
    Training
    8.30
     training
    8.09
     Training
    7.68
    training
    7.47
     trainers
    7.01
     trainer
    6.49
     Train
    6.47
     train
    6.39
     trained
    6.25
     Trainer
    5.99
    Activations Density 0.202%

    No Known Activations