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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. 22720
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    Explanations

    It looks for mentions of specific technical terms related to software development, like "Docker," "compose file," and "containers"

    oai_token-act-pair · gpt-3.5-turbo

    references to Docker and containerization technologies

    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
    terday
    -0.82
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    66666666
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    undai
    -0.67
     bye
    -0.66
    pard
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    76561
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    POSITIVE LOGITS
     containers
    1.06
     Swarm
    0.98
     container
    0.89
     Docker
    0.88
    files
    0.84
    icum
    0.82
    file
    0.80
    ainers
    0.80
     Hub
    0.79
     Container
    0.76
    Activations Density 0.013%

    No Known Activations