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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. 9-RES-JB
    11. 23615
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    Explanations

    food items and menu options in a restaurant setting

    oai_token-act-pair · gpt-3.5-turbo

    elements related to food and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gamergate
    -0.76
     seism
    -0.72
    rogram
    -0.70
     outline
    -0.69
    uler
    -0.69
    ayson
    -0.69
    iversal
    -0.68
    Plot
    -0.68
    Filename
    -0.67
     firewall
    -0.66
    POSITIVE LOGITS
     drinks
    1.71
     beverages
    1.67
     dessert
    1.64
     beverage
    1.63
     snacks
    1.63
     meal
    1.62
     meals
    1.61
     breakfast
    1.58
     sandwiches
    1.58
     foods
    1.56
    Activations Density 1.322%

    No Known Activations