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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. 8-RES-JB
    11. 11674
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    Explanations

    ingredients and measurements used in cooking

    oai_token-act-pair · gpt-3.5-turbo

    ingredients related to cooking and baking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geries
    -0.76
     Models
    -0.71
    onga
    -0.69
     Yards
    -0.68
    WT
    -0.68
     Poster
    -0.68
    Site
    -0.65
    "]=>
    -0.65
    76561
    -0.64
    fit
    -0.63
    POSITIVE LOGITS
     flakes
    1.03
     mixture
    0.96
     seasoning
    0.93
     ingredients
    0.92
     sauce
    0.92
     extract
    0.92
     spices
    0.89
     ingred
    0.89
     mustard
    0.89
     powder
    0.88
    Activations Density 0.129%

    No Known Activations