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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. 1902
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    Explanations

    colors mentioned in food recipes

    oai_token-act-pair · gpt-3.5-turbo

    color-related descriptors in food contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.70
     Equality
    -0.68
    utics
    -0.68
     Battalion
    -0.66
     Speech
    -0.65
     Significant
    -0.65
    Property
    -0.65
    yssey
    -0.63
    eligible
    -0.62
    speech
    -0.62
    POSITIVE LOGITS
     onions
    1.25
     beans
    1.23
     onion
    1.21
     peppers
    1.12
     cabbage
    1.11
     potatoes
    1.08
     bean
    1.07
     pepper
    1.06
     rice
    1.05
    berries
    1.04
    Activations Density 0.078%

    No Known Activations