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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. 11-RES-JB
    11. 21446
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    Explanations

    ingredients and cooking instructions for a recipe

    oai_token-act-pair · gpt-3.5-turbo

    cooking-related terms, particularly those describing how ingredients are prepared

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ships
    -0.80
    Discussion
    -0.77
    agents
    -0.75
    bnb
    -0.75
    culosis
    -0.70
    laws
    -0.69
    soDeliveryDate
    -0.68
    externalActionCode
    -0.67
    hover
    -0.67
    rium
    -0.66
    POSITIVE LOGITS
     onions
    1.20
     onion
    1.17
     tomatoes
    1.13
     garlic
    1.11
     almonds
    1.10
     carrots
    1.08
     strawberries
    1.01
     cloves
    1.00
     pineapple
    0.99
     thinly
    0.98
    Activations Density 0.054%

    No Known Activations