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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. 4-RES-JB
    11. 6613
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    Explanations

    references to regulatory bodies and discussions regarding regulations and policies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of regulatory bodies and regulations

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

    No Comments

    Negative Logits
    lihood
    -0.81
     Voy
    -0.72
     Candle
    -0.71
     Towns
    -0.69
     Locke
    -0.68
     Junction
    -0.66
     Sick
    -0.65
     Hume
    -0.65
     Anniversary
    -0.65
     Zeal
    -0.65
    POSITIVE LOGITS
     regulators
    1.00
     regulator
    1.00
     overseeing
    0.83
     governing
    0.81
     regulating
    0.81
     oversight
    0.81
     regulated
    0.81
     filings
    0.80
     promulg
    0.79
    alties
    0.79
    Activations Density 0.013%

    No Known Activations