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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. 9-RES-JB
    11. 23414
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    Explanations

    descriptions and details of food recipes

    oai_token-act-pair · gpt-3.5-turbo

    sentences that describe recipes and cooking details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     RSA
    -0.89
     Gamergate
    -0.87
    etheus
    -0.79
     Aerospace
    -0.79
     Securities
    -0.78
     Assange
    -0.78
     SIG
    -0.77
     Byrne
    -0.77
     arbitration
    -0.76
    aspers
    -0.75
    POSITIVE LOGITS
     recipes
    1.50
     recipe
    1.49
    Recipe
    1.47
    Ingredients
    1.46
     Recipe
    1.41
     vegan
    1.35
     Cooking
    1.34
     veggies
    1.33
     homemade
    1.32
     Ingredients
    1.31
    Activations Density 0.721%

    No Known Activations