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    Explanations

    references to embassy locations from various countries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of embassies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CAST
    -0.83
    Interstitial
    -0.74
    sbm
    -0.70
    nir
    -0.68
    efer
    -0.67
    ppings
    -0.66
     Progressive
    -0.64
    fm
    -0.63
    oven
    -0.62
    corn
    -0.61
    POSITIVE LOGITS
     embassy
    1.00
    assies
    0.95
     Embassy
    0.92
     abroad
    0.87
     embassies
    0.86
     consulate
    0.85
    assy
    0.84
     annex
    0.80
    keepers
    0.80
    keeping
    0.74
    Activations Density 0.013%

    No Known Activations