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    Explanations

    technical terms related to caching in computer networks

    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
    0:0.16
    1:0.06
    2:0.06
    3:0.06
    4:0.07
    5:0.03
    6:0.10
    7:0.16
    8:0.04
    9:0.04
    10:0.09
    11:0.08
    Negative Logits
     Swanson
    -2.87
     Lovecraft
    -2.82
     Greenberg
    -2.78
     Moy
    -2.66
     Gould
    -2.66
     Carpenter
    -2.62
     Schneider
    -2.57
     McCarthy
    -2.51
     Cary
    -2.45
     Dul
    -2.43
    POSITIVE LOGITS
     cache
    5.93
     caches
    5.52
     Cache
    5.45
    Cache
    4.98
    cache
    4.80
     caching
    4.21
     cached
    3.99
     Offline
    2.73
    storage
    2.69
     CPU
    2.59
    Activations Density 0.018%

    No Known Activations