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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. 6-RES-JB
    11. 8507
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    Explanations

    ingredients or food-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to fresh ingredients in recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.89
    uyomi
    -0.87
    ertodd
    -0.85
    hit
    -0.79
    xual
    -0.77
    arsity
    -0.75
    ysics
    -0.75
    orney
    -0.74
    én
    -0.74
    urches
    -0.73
    POSITIVE LOGITS
     vegetables
    0.98
     tomatoes
    0.98
     herbs
    0.96
     vegetable
    0.95
     foods
    0.94
     harvested
    0.89
     veggies
    0.88
     ingredients
    0.86
     imported
    0.85
     dairy
    0.85
    Activations Density 0.155%

    No Known Activations