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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    ingredients used in cooking, particularly focusing on tomatoes

    oai_token-act-pair · gpt-3.5-turbo

    references to tomatoes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ghan
    -0.78
     Ear
    -0.75
     Flight
    -0.71
    ieth
    -0.68
    Flight
    -0.66
     instr
    -0.66
     EE
    -0.65
    venture
    -0.65
     Noon
    -0.65
     Command
    -0.64
    POSITIVE LOGITS
     tomatoes
    3.52
     tomato
    3.23
     Tomato
    2.55
     tomat
    1.87
     strawberries
    1.67
     peppers
    1.66
     lettuce
    1.63
     oranges
    1.58
     vegetables
    1.58
     onions
    1.58
    Activations Density 0.021%

    No Known Activations