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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    references to the city of Delhi

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Delhi

    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
    xon
    -0.83
    cies
    -0.80
    htaking
    -0.77
    estern
    -0.72
    ovie
    -0.71
    vor
    -0.68
    xp
    -0.68
     Robertson
    -0.67
    inelli
    -0.67
    inances
    -0.67
    POSITIVE LOGITS
     Pradesh
    1.06
    jriwal
    0.91
     Delhi
    0.84
     Punjab
    0.79
     Lumpur
    0.71
     ki
    0.71
    ascus
    0.69
    igans
    0.68
    ennes
    0.64
     ide
    0.63
    Activations Density 0.010%

    No Known Activations