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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22234
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    INDEX
    Explanations

    descriptions and attributes related to different types of beers

    oai_token-act-pair · gpt-3.5-turbo

    references to specific types and qualities of beer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     actu
    -0.89
     Canaver
    -0.86
    DCS
    -0.86
    igslist
    -0.82
    OPLE
    -0.81
     WATCHED
    -0.81
    Computer
    -0.80
     Gamergate
    -0.79
    iframe
    -0.79
    Downloadha
    -0.79
    POSITIVE LOGITS
     brewed
    2.09
     beers
    1.93
     ABV
    1.90
     brew
    1.89
     brewery
    1.88
     brewer
    1.79
     brewers
    1.79
     breweries
    1.78
     beer
    1.74
     bourbon
    1.72
    Activations Density 0.485%

    No Known Activations