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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. 3273
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    INDEX
    Explanations

    food ingredients and cooking instructions such as spices, fruits, and flavors

    oai_token-act-pair · gpt-3.5-turbo

    specific ingredients or food-related items

    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
    ospace
    -0.82
    IGN
    -0.82
    Offline
    -0.82
    iversal
    -0.82
    eatures
    -0.80
    ITNESS
    -0.79
    Students
    -0.78
    andowski
    -0.76
    FontSize
    -0.74
    rists
    -0.74
    POSITIVE LOGITS
     flakes
    1.36
     syrup
    1.29
     seeds
    1.27
     sauce
    1.24
     juice
    1.21
     flavored
    1.20
     berries
    1.20
     spice
    1.20
     extract
    1.18
     powder
    1.18
    Activations Density 0.180%

    No Known Activations