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    Explanations

    references to the city of Barcelona

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Barcelona

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.75
    orship
    -0.73
    awk
    -0.70
    BOOK
    -0.69
    bilt
    -0.69
    ulhu
    -0.69
    sg
    -0.69
    venge
    -0.69
    encers
    -0.66
    elfare
    -0.65
    POSITIVE LOGITS
    celona
    0.95
     Barcelona
    0.89
     Madrid
    0.77
     Lumpur
    0.74
     FC
    0.73
     Catal
    0.73
     Catalonia
    0.71
     Munich
    0.69
     Canter
    0.68
    anca
    0.68
    Activations Density 0.004%

    No Known Activations