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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. 9-RES-JB
    11. 22667
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    Explanations

    package-related terms and software identifiers

    oai_token-act-pair · gpt-3.5-turbo

    references to software packages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    nesota
    -0.98
    bered
    -0.87
    alties
    -0.80
    aft
    -0.77
    farious
    -0.76
    osate
    -0.75
    cess
    -0.75
    iak
    -0.72
    bes
    -0.69
    auga
    -0.69
    POSITIVE LOGITS
     Contents
    0.90
     containing
    0.87
     packages
    0.80
     Includes
    0.78
    packages
    0.76
     inserts
    0.75
    nam
    0.73
     insert
    0.72
    aging
    0.72
     packaging
    0.70
    Activations Density 0.025%

    No Known Activations