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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. 8-RES-JB
    11. 10126
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    Explanations

    baking instructions, especially related to pies and pastries

    oai_token-act-pair · gpt-3.5-turbo

    culinary processes and ingredients involved in cooking or baking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udicrous
    -0.74
     Hert
    -0.68
     Limbaugh
    -0.67
     Samar
    -0.63
     Labrador
    -0.63
    ¥µ
    -0.62
     Jaguar
    -0.61
    IQ
    -0.61
    href
    -0.60
     prostitutes
    -0.59
    POSITIVE LOGITS
    Ingredients
    1.05
     evenly
    0.92
     mixture
    0.89
     Ingredients
    0.89
     ingredients
    0.88
     parchment
    0.86
     Instructions
    0.84
     yeast
    0.82
     freezer
    0.81
     Bake
    0.81
    Activations Density 0.156%

    No Known Activations