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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. 7-RES-JB
    11. 8764
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    Explanations

    terms related to the technical aspect of a computer system, especially focusing on the kernel

    oai_token-act-pair · gpt-3.5-turbo

    references to computer or software kernels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Hoover
    -0.79
    glomer
    -0.75
    uations
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    rences
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    rooms
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    reek
    -0.71
    ÙĴ
    -0.70
    hips
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    ku
    -0.69
    POSITIVE LOGITS
    kernel
    0.92
     kernel
    0.91
     Kernel
    0.89
     patches
    0.74
     sshd
    0.72
    Introduced
    0.69
     namespace
    0.69
     kernels
    0.69
    ovember
    0.69
    foundation
    0.68
    Activations Density 0.018%

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