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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
    11. 8619
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    Explanations

    words related to soups and broths

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of soup

    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
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.70
    inel
    -0.68
     Hammond
    -0.66
     diligence
    -0.66
    unknown
    -0.65
    eff
    -0.65
     Fox
    -0.62
     Freem
    -0.62
    oral
    -0.61
    uate
    -0.61
    POSITIVE LOGITS
     soup
    1.59
     Soup
    1.46
    bowl
    1.05
     kitchens
    0.97
     nood
    0.96
     sou
    0.94
     broth
    0.94
     meal
    0.85
    atown
    0.84
     bowls
    0.84
    Activations Density 0.008%

    No Known Activations