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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. 11713
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    INDEX
    Explanations

    names of sports teams or universities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of college sports teams

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aird
    -0.69
    olkien
    -0.67
    BOOK
    -0.66
     authorised
    -0.64
    iths
    -0.63
     smugglers
    -0.63
     exaggeration
    -0.63
     Zup
    -0.63
     gag
    -0.63
    ipel
    -0.61
    POSITIVE LOGITS
     Athletics
    1.18
     University
    1.03
     Bulldogs
    0.97
     Athletic
    0.94
    Sports
    0.93
     Stadium
    0.92
     Wildcats
    0.91
     athletics
    0.91
     Mutual
    0.90
     athletic
    0.88
    Activations Density 0.085%

    No Known Activations