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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. 6-RES-JB
    11. 11809
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    Explanations

    keywords related to cooking and recipe ingredients

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to food and cooking concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Sutherland
    -0.77
     Beir
    -0.72
    etsk
    -0.69
     Communists
    -0.67
    acons
    -0.66
    Population
    -0.66
    href
    -0.66
    omsky
    -0.65
    choes
    -0.64
    xit
    -0.64
    POSITIVE LOGITS
     ;)
    0.85
     themed
    0.82
     Grade
    0.82
     :)
    0.79
     freezer
    0.78
     DIY
    0.78
     grade
    0.74
     yeast
    0.74
     ðŁĻĤ
    0.74
     Cooking
    0.73
    Activations Density 0.633%

    No Known Activations