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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. 4-RES-JB
    11. 2461
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    Explanations

    ingredients or components of recipes that go in the top or finishing layer of a dish

    oai_token-act-pair · gpt-3.5-turbo

    references to toppings and garnishes in cooking

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

    No Comments

    Negative Logits
     Nanto
    -0.77
     EEG
    -0.73
     Gund
    -0.72
     ambul
    -0.69
     partName
    -0.69
     Icar
    -0.68
    ©¶æ¥µ
    -0.67
    abouts
    -0.67
     diagn
    -0.67
    sighted
    -0.67
    POSITIVE LOGITS
     sauces
    1.03
    isine
    0.96
    Ingredients
    0.96
     sauce
    0.94
     topping
    0.91
     recip
    0.90
     conco
    0.89
     recipe
    0.89
     dough
    0.89
     mixture
    0.89
    Activations Density 0.079%

    No Known Activations