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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4310
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    Explanations

    a recipe or cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to recipes and cooking-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gamergate
    -0.92
     cybersecurity
    -0.82
     Aerospace
    -0.81
     telecommunications
    -0.80
     Voting
    -0.80
     advers
    -0.78
     policing
    -0.77
     Securities
    -0.77
     FBI
    -0.77
     unmanned
    -0.76
    POSITIVE LOGITS
    Ingredients
    1.46
    Recipe
    1.34
     Ingredients
    1.32
     creamy
    1.24
     Recipe
    1.22
    redients
    1.20
     Cooking
    1.19
     veggies
    1.19
     delicious
    1.15
     gluten
    1.15
    Activations Density 1.050%

    No Known Activations