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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. 11-RES-JB
    11. 1492
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    Explanations

    mentions of specific food items or dishes and their ingredients

    oai_token-act-pair · gpt-3.5-turbo

    cooking-related terms and recipes, particularly those involving traditional meals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLASSIFIED
    -0.85
    ··
    -0.80
     Pinball
    -0.79
    Track
    -0.78
    BIP
    -0.77
    Privacy
    -0.77
    utherford
    -0.77
    ESA
    -0.76
     Aerospace
    -0.75
     SPD
    -0.75
    POSITIVE LOGITS
     curry
    1.99
     rice
    1.59
     Thai
    1.47
     noodles
    1.47
     spicy
    1.43
     Curry
    1.40
     Gujar
    1.37
     chili
    1.32
     tofu
    1.29
     broth
    1.29
    Activations Density 0.215%

    No Known Activations