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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. 9-RES-JB
    11. 15348
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    Explanations

    phrases related to dramatic or troubling situations hinting at abuse or violence

    oai_token-act-pair · gpt-3.5-turbo

    references to traumatic experiences and abuse

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amacare
    -0.80
    claimer
    -0.74
    xit
    -0.72
    Brexit
    -0.71
    bold
    -0.71
    capitalist
    -0.71
     Conclusion
    -0.70
    utterstock
    -0.68
     2017
    -0.68
     UPDATE
    -0.67
    POSITIVE LOGITS
     dinners
    1.16
     nightly
    1.08
     mornings
    1.08
     whenever
    1.04
     nights
    1.02
     evenings
    1.00
     Sundays
    0.96
     babys
    0.94
     Occasionally
    0.93
     Saturdays
    0.90
    Activations Density 0.836%

    No Known Activations