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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. 12764
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    Explanations

    ingredients and cooking instructions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and measurements related to cooking recipes

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Visitors
    -0.78
     Ranking
    -0.77
     Defendants
    -0.74
     Pinball
    -0.74
     Intellectual
    -0.71
     CVE
    -0.70
    FTWARE
    -0.69
    CVE
    -0.68
     Hilbert
    -0.67
    Activity
    -0.67
    POSITIVE LOGITS
     omit
    1.25
    optional
    1.14
     diced
    1.10
     chopped
    1.05
     minced
    1.03
     shredded
    1.02
     substit
    1.01
     almond
    1.00
     finely
    0.99
     coconut
    0.97
    Activations Density 0.139%

    No Known Activations