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    INDEX
    Explanations

    instances of the word "jam" in various contexts indicating congestion or crowding

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.03
    1:0.02
    2:0.06
    3:0.06
    4:0.11
    5:0.02
    6:0.07
    7:0.39
    8:0.03
    9:0.03
    10:0.06
    11:0.05
    Negative Logits
    TPPStreamerBot
    -1.94
    DragonMagazine
    -1.86
    assetsadobe
    -1.75
    SEA
    -1.64
    OSP
    -1.56
    NAS
    -1.56
    ENA
    -1.55
    ModLoader
    -1.51
    quickShipAvailable
    -1.49
    Merit
    -1.49
    POSITIVE LOGITS
     jammed
    1.80
     throats
    1.79
     pores
    1.78
     crammed
    1.75
     arteries
    1.72
     seams
    1.70
     cram
    1.67
     schedules
    1.66
     bottleneck
    1.62
     panels
    1.58
    Activations Density 0.003%

    No Known Activations