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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 17883
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    INDEX
    Explanations

    references to tables, reports, and archives

    oai_token-act-pair · gpt-3.5-turbo

    references to tables and data points in formal documents

    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
    Not in Any Lists

    No Comments

    Negative Logits
     revenge
    -0.87
    venge
    -0.86
     crazy
    -0.75
     befriend
    -0.75
     stealing
    -0.73
     hating
    -0.73
     onlook
    -0.72
     karma
    -0.72
     draining
    -0.72
     pizza
    -0.71
    POSITIVE LOGITS
     appendix
    1.44
     Appendix
    1.42
    PDF
    1.30
     PDF
    1.28
     Publication
    1.25
     pdf
    1.21
     Supplementary
    1.21
     Publications
    1.16
    pdf
    1.15
    doi
    1.14
    Activations Density 0.510%

    No Known Activations