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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. 3637
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    Explanations

    ingredients or cooking instructions that involve chopping, specifically highlighting finely or up as well

    oai_token-act-pair · gpt-3.5-turbo

    references to chopped 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
    ports
    -0.77
    abilities
    -0.73
    rium
    -0.70
    Scot
    -0.69
    porting
    -0.69
    PRO
    -0.68
    sche
    -0.67
    ships
    -0.66
    WP
    -0.66
    isle
    -0.66
    POSITIVE LOGITS
     chop
    1.11
     onions
    1.01
     onion
    0.95
    aneous
    0.92
     garlic
    0.92
     Chop
    0.88
     chopped
    0.87
     chopping
    0.86
     chunks
    0.85
     slices
    0.85
    Activations Density 0.038%

    No Known Activations