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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. 6-RES-JB
    11. 13440
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    Explanations

    references to the Linux operating system

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Linux operating system and its related aspects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    rahim
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    rill
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    draft
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    tin
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     Beir
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    riers
    -0.76
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    POSITIVE LOGITS
     Kernel
    1.02
    BSD
    1.00
     kernel
    0.97
     distributions
    0.94
     kernels
    0.85
     Mint
    0.84
     desktop
    0.73
     filesystem
    0.73
     browsers
    0.72
     derivatives
    0.71
    Activations Density 0.012%

    No Known Activations