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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. 7-RES-JB
    11. 5325
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    Explanations

    ingredients or cooking instructions related to using fresh food

    oai_token-act-pair · gpt-3.5-turbo

    references to fresh and organic food ingredients

    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
    xual
    -0.98
    ertodd
    -0.94
    orney
    -0.91
    anship
    -0.85
    ffield
    -0.83
    ĸļ
    -0.80
    ority
    -0.80
    ysics
    -0.79
    Developer
    -0.79
    ucker
    -0.79
    POSITIVE LOGITS
     vegetables
    1.04
     herbs
    1.03
     tomatoes
    0.99
     foods
    0.98
     strawberries
    0.96
     goods
    0.96
     yeast
    0.93
     vegetable
    0.91
     fruits
    0.91
     food
    0.90
    Activations Density 0.150%

    No Known Activations