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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. 4-RES-JB
    11. 413
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    Explanations

    unexpected occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    references to occurrences or situations that are surprising or unanticipated

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     unexpected
    1.03
     surprises
    0.88
    aneously
    0.87
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     twists
    0.80
     occurrences
    0.78
     circumstances
    0.77
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    0.74
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    0.74
    Activations Density 0.025%

    No Known Activations