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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of supermarkets

    oai_token-act-pair · gpt-3.5-turbo

    references to supermarkets and their significance

    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
    oria
    -0.73
    orne
    -0.72
    othal
    -0.71
    early
    -0.71
    held
    -0.70
    hma
    -0.69
    irection
    -0.68
    vich
    -0.67
    unin
    -0.67
    thia
    -0.67
    POSITIVE LOGITS
     supermarket
    1.15
     shelves
    1.12
     supermarkets
    0.97
     tabl
    0.94
     shelf
    0.90
     shoppers
    0.89
    eteria
    0.88
    Tes
    0.85
     beet
    0.85
     retailer
    0.83
    Activations Density 0.014%

    No Known Activations