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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. 11-RES-JB
    11. 9318
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    Explanations

    keywords related to industrial quality control and safety measures within a company

    oai_token-act-pair · gpt-3.5-turbo

    references to products, labeling, and safety concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    algia
    -0.81
    bent
    -0.77
    anyahu
    -0.73
    tan
    -0.72
    fty
    -0.70
    ousy
    -0.68
    erity
    -0.67
     cheers
    -0.66
    tale
    -0.64
    lain
    -0.63
    POSITIVE LOGITS
     environments
    1.05
     systems
    0.99
     portfolios
    0.94
     products
    0.91
     processes
    0.89
     platforms
    0.87
     workforce
    0.86
     environment
    0.84
     ecosystems
    0.84
     portfolio
    0.83
    Activations Density 0.547%

    No Known Activations