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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. 12323
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    INDEX
    Explanations

    descriptions of cooking techniques and processes

    oai_token-act-pair · gpt-3.5-turbo

    components and processes in cooking

    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
    Track
    -0.81
    Warren
    -0.77
     DACA
    -0.76
    ipolar
    -0.74
    Wolf
    -0.74
     Pf
    -0.74
     Psychiatric
    -0.73
     Valiant
    -0.72
     Higgins
    -0.72
     Gamergate
    -0.71
    POSITIVE LOGITS
     frying
    1.68
     seasoning
    1.66
     cooking
    1.66
     sauces
    1.64
     overc
    1.62
     sauce
    1.57
     cooks
    1.49
     pasta
    1.49
     veggies
    1.47
     skillet
    1.45
    Activations Density 0.314%

    No Known Activations