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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. 8-RES-JB
    11. 10529
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    Explanations

    sentences discussing various topics or issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to corporate and business practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Billy
    -0.69
     hers
    -0.66
    Tonight
    -0.64
    Ń·
    -0.64
     afterwards
    -0.64
     afterward
    -0.64
     theirs
    -0.63
     thereof
    -0.62
    Runner
    -0.62
     nause
    -0.62
    POSITIVE LOGITS
     foregoing
    0.88
     Conclusion
    0.80
     Effective
    0.79
     heterogeneity
    0.73
     longitudinal
    0.71
     Background
    0.70
     Differences
    0.70
     empirical
    0.68
     Solution
    0.68
     quantitative
    0.67
    Activations Density 1.201%

    No Known Activations