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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. 23116
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    Explanations

    words related to describing flavors and tastes, especially in the context of beverages

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of flavors and taste profiles in beverages

    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
     Canaver
    -0.85
    OPLE
    -0.78
     Robotics
    -0.77
     Transformers
    -0.75
    andowski
    -0.74
    ESA
    -0.71
    Wars
    -0.70
    Community
    -0.70
    Rex
    -0.69
    odcast
    -0.69
    POSITIVE LOGITS
     sweetness
    1.57
     aroma
    1.46
     arom
    1.43
     bitterness
    1.41
     citrus
    1.36
     flavors
    1.34
     fru
    1.32
     palate
    1.31
     flavours
    1.31
     floral
    1.28
    Activations Density 0.327%

    No Known Activations