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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. 12742
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    Explanations

    references to graphical processing units (GPUs)

    oai_token-act-pair · gpt-3.5-turbo

    references to GPUs (graphics processing units)

    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
    PDATE
    1.61
    GPU
    1.06
     GPU
    0.98
     GPUs
    0.97
     computing
    0.97
     compute
    0.95
     graphics
    0.89
     shader
    0.84
     hardware
    0.84
    Graphics
    0.83
    Activations Density 0.009%

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