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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. 10-RES-JB
    11. 5674
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    Explanations

    time durations mentioned in minutes

    oai_token-act-pair · gpt-3.5-turbo

    references to time durations, particularly minutes and seconds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     elapsed
    0.90
     apiece
    0.89
     cooldown
    0.85
     ago
    0.81
    utes
    0.79
    glass
    0.77
     timer
    0.77
     lapse
    0.77
     intervals
    0.75
    long
    0.74
    Activations Density 0.061%

    No Known Activations