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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. 18525
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    Explanations

    food items prepared by frying

    oai_token-act-pair · gpt-3.5-turbo

    culinary terms related to fried foods

    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
    soDeliveryDate
    -0.96
    Privacy
    -0.82
    marked
    -0.79
    metic
    -0.78
    gap
    -0.76
    FontSize
    -0.74
    series
    -0.73
    pert
    -0.72
    Depth
    -0.71
    kept
    -0.71
    POSITIVE LOGITS
     vegetables
    1.25
     meats
    1.24
     peanuts
    1.20
     potatoes
    1.19
     cabbage
    1.17
     tomatoes
    1.15
     chicken
    1.15
     almonds
    1.14
     onions
    1.13
     tofu
    1.12
    Activations Density 0.075%

    No Known Activations