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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. 1-RES-JB
    11. 22592
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    Explanations

    activities or tasks that can be completed in a short amount of time

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate short durations of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     Minutes
    1.22
     mins
    1.10
     minutes
    1.08
    endment
    0.91
    ilver
    0.86
    neapolis
    0.84
     seconds
    0.82
    utes
    0.81
     Seconds
    0.80
     elapsed
    0.75
    Activations Density 0.018%

    No Known Activations