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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. 1-RES-JB
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    Explanations

    references to breweries

    oai_token-act-pair · gpt-3.5-turbo

    references to breweries and brewing-related establishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Matter
    -0.78
    avez
    -0.70
     Telecommunications
    -0.70
    aneous
    -0.68
    itia
    -0.68
    hin
    -0.66
    ockets
    -0.64
    othy
    -0.64
    aphael
    -0.63
    graded
    -0.62
    POSITIVE LOGITS
     brewery
    1.27
     brewer
    1.24
     brewed
    1.17
     brewing
    1.09
     brewers
    1.07
     breweries
    1.04
     Brewery
    0.98
     Kirin
    0.82
     beer
    0.81
     pubs
    0.80
    Activations Density 0.016%

    No Known Activations