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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    mentions of the city Copenhagen

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Copenhagen

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aiden
    -0.75
     ..............
    -0.74
     Cyrus
    -0.71
    rosse
    -0.70
    fortune
    -0.68
    earned
    -0.66
     =====
    -0.63
     mats
    -0.62
     fared
    -0.62
    USA
    -0.61
    POSITIVE LOGITS
     Copenhagen
    2.88
     Kyoto
    1.19
    Witness
    1.18
     Oslo
    1.11
     VW
    1.06
     COP
    1.04
     Witness
    0.96
     Schr
    0.94
     Antiqu
    0.94
    KT
    0.92
    Activations Density 0.067%

    No Known Activations