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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. 10-RES-JB
    11. 20205
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    Explanations

    ingredients in a cooking recipe

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and measurements in cooking recipes

    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
    OPLE
    -0.89
    utics
    -0.79
    76561
    -0.69
    Behind
    -0.65
     Spectre
    -0.64
    xual
    -0.63
    issance
    -0.62
    代
    -0.62
    Phones
    -0.62
    geries
    -0.61
    POSITIVE LOGITS
     yeast
    1.09
     flour
    1.04
     oats
    1.02
     spices
    1.00
     vinegar
    0.97
     sugar
    0.96
     soy
    0.95
     butter
    0.95
     coconut
    0.93
     spice
    0.93
    Activations Density 0.118%

    No Known Activations