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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. 986
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    Explanations

    ingredient quantities and cooking instructions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    measurements and quantities related to cooking ingredients

    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
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    No Comments

    Negative Logits
    projects
    -0.77
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    -0.72
    videos
    -0.71
    osponsors
    -0.71
     Vaugh
    -0.69
    phones
    -0.69
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    -0.67
    abilities
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     sights
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    -0.65
    POSITIVE LOGITS
     tsp
    1.48
     tbsp
    1.47
     tablespoon
    1.41
     teaspoon
    1.35
     cup
    1.24
     teasp
    1.22
    ½
    1.11
     egg
    1.11
     pinch
    1.08
     tablespoons
    1.08
    Activations Density 0.036%

    No Known Activations