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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. 3-RES-JB
    11. 13616
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    Explanations

    sports statistics like scores, rebounds, assists, and other performance metrics

    oai_token-act-pair · gpt-3.5-turbo

    statistics and performance metrics related to sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.79
    onym
    -0.79
    rities
    -0.74
    forums
    -0.73
    CHAT
    -0.72
    zos
    -0.71
    nih
    -0.71
    olitical
    -0.70
    itarian
    -0.70
     Perspect
    -0.70
    POSITIVE LOGITS
     overtime
    1.05
     apiece
    0.98
     averaging
    0.97
     playoff
    0.89
     postseason
    0.85
     shootout
    0.85
     preseason
    0.82
     aggravated
    0.82
     averaged
    0.80
     league
    0.80
    Activations Density 0.683%

    No Known Activations