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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. 16061
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    Explanations

    phrases related to food and food-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to food-related topics and issues in society

    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
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    Negative Logits
     Vance
    -0.87
     Spectre
    -0.85
     Quinn
    -0.79
     Arkham
    -0.79
     DACA
    -0.79
     Rai
    -0.79
     Avalon
    -0.76
    WAR
    -0.76
     Static
    -0.76
     Bridges
    -0.75
    POSITIVE LOGITS
     food
    1.96
     meal
    1.93
     foods
    1.91
    Food
    1.86
     meals
    1.85
     eating
    1.82
    food
    1.80
     eat
    1.80
     Food
    1.76
     culinary
    1.76
    Activations Density 0.689%

    No Known Activations