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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. 10114
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    Explanations

    references to ethics-related terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    discussions and mentions of ethics

    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
    upt
    -0.75
    nces
    -0.73
    stall
    -0.72
     Clockwork
    -0.70
    oday
    -0.69
    nant
    -0.69
    Stock
    -0.68
     Jub
    -0.68
    noon
    -0.68
    swick
    -0.67
    POSITIVE LOGITS
    onomic
    1.01
    onom
    0.84
     watchdog
    0.83
     dile
    0.83
     disclosure
    0.79
     violations
    0.78
     hazard
    0.75
    ostics
    0.75
     waivers
    0.75
     ethics
    0.74
    Activations Density 0.031%

    No Known Activations