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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. 9-RES-JB
    11. 8615
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    INDEX
    Explanations

    descriptions of flavors and characteristics in food and beverages

    oai_token-act-pair · gpt-3.5-turbo

    descriptive terms related to food and beverage flavors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IRC
    -0.81
    andowski
    -0.80
     Contracts
    -0.80
     scanners
    -0.80
     Robots
    -0.80
     computers
    -0.80
    workshop
    -0.79
     CCTV
    -0.78
     Robotics
    -0.77
     Rent
    -0.75
    POSITIVE LOGITS
     sweetness
    1.62
     flavor
    1.58
     aroma
    1.56
     flavors
    1.55
     flavorful
    1.54
     creamy
    1.54
     citrus
    1.48
     arom
    1.43
     fru
    1.40
     flavour
    1.39
    Activations Density 0.445%

    No Known Activations