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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. 9-RES-JB
    11. 23005
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    Explanations

    ingredients and cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and quantities typically used in recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utics
    -0.83
    xual
    -0.80
    OPLE
    -0.78
    issance
    -0.69
    代
    -0.69
    Developer
    -0.66
    Contract
    -0.66
    ittee
    -0.65
    DAY
    -0.64
    ueller
    -0.64
    POSITIVE LOGITS
     yeast
    1.07
     spices
    1.04
     oats
    1.01
     herbs
    0.98
     soy
    0.97
     ingredients
    0.90
     coconut
    0.90
     chili
    0.90
     olive
    0.90
     vegetable
    0.89
    Activations Density 0.132%

    No Known Activations