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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. 3-RES-JB
    11. 5672
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    Explanations

    references to breweries

    oai_token-act-pair · gpt-3.5-turbo

    references to breweries and brewing companies

    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
    aneous
    -0.71
     Matter
    -0.70
    othy
    -0.64
    hin
    -0.64
    pite
    -0.62
    nesota
    -0.62
    vantage
    -0.62
    ciating
    -0.62
    imal
    -0.61
     certs
    -0.61
    POSITIVE LOGITS
     brewery
    1.10
     brewed
    1.02
     brewer
    0.98
     brewing
    0.89
     breweries
    0.87
     brewers
    0.82
     Brewery
    0.80
     pubs
    0.77
    eries
    0.74
     beer
    0.74
    Activations Density 0.012%

    No Known Activations