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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. 8-RES-JB
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    Explanations

    ingredients commonly used in cooking, specifically focusing on onions and garlic

    oai_token-act-pair · gpt-3.5-turbo

    references to onions and garlic in recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    enegger
    -0.76
    76561
    -0.72
    eting
    -0.71
    pmwiki
    -0.71
    ting
    -0.69
    ilitating
    -0.69
    inventoryQuantity
    -0.69
     Archangel
    -0.67
    DCS
    -0.66
     Airl
    -0.65
    POSITIVE LOGITS
     rings
    0.90
    urst
    0.88
    nect
    0.85
    stick
    0.81
    iculture
    0.79
     onion
    0.79
    wich
    0.77
    oki
    0.76
    ality
    0.75
    ovy
    0.75
    Activations Density 0.044%

    No Known Activations