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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of breweries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of breweries and brewing-related activities

    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
    gypt
    -0.80
    edge
    -0.66
     DeV
    -0.65
    Egypt
    -0.64
     Ivory
    -0.63
    clips
    -0.62
    Saharan
    -0.62
    edi
    -0.61
    î
    -0.61
    phas
    -0.60
    POSITIVE LOGITS
     breweries
    3.20
     brewery
    3.15
     brewers
    3.10
     brewer
    3.03
     Brewery
    2.85
    Brew
    2.58
    Beer
    2.51
     Brewing
    2.47
     Brewers
    2.36
     brewing
    2.28
    Activations Density 0.035%

    No Known Activations