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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 11305
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    Explanations

    ingredients in food recipes

    oai_token-act-pair · gpt-3.5-turbo

    food-related topics, particularly recipes featuring specific ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    blance
    -0.79
    metic
    -0.78
    agnetic
    -0.72
     Gamergate
    -0.70
    ITNESS
    -0.69
     Aerospace
    -0.67
    FontSize
    -0.67
    ertodd
    -0.67
    ETH
    -0.67
    Detect
    -0.66
    POSITIVE LOGITS
     curry
    1.37
     sauce
    1.36
     tacos
    1.35
     noodles
    1.34
     soup
    1.33
     salad
    1.33
     pasta
    1.28
     grilled
    1.26
     fries
    1.24
     steak
    1.22
    Activations Density 0.192%

    No Known Activations