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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. 0-RES-JB
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    Explanations

    ingredients and cooking instructions related to onions

    oai_token-act-pair · gpt-3.5-turbo

    references to onions in various culinary contexts

    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
     Batt
    -0.81
     Mandal
    -0.73
    reb
    -0.73
     Trainer
    -0.72
    MH
    -0.67
    Spe
    -0.66
    reg
    -0.66
     Galactic
    -0.65
     Haz
    -0.65
     Stim
    -0.64
    POSITIVE LOGITS
     onion
    3.79
     onions
    3.24
     Onion
    2.91
     garlic
    1.52
     mustard
    1.49
     cabbage
    1.40
     potatoes
    1.31
     tomatoes
    1.31
     lettuce
    1.30
     Tomato
    1.27
    Activations Density 0.014%

    No Known Activations