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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. 1-RES-JB
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    Explanations

    references to ethical concepts and violations

    oai_token-act-pair · gpt-3.5-turbo

    references to ethics and ethical issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.84
    upt
    -0.80
     Jub
    -0.80
    Driver
    -0.74
    Stock
    -0.74
    âĹ¼
    -0.74
    eding
    -0.70
    Boy
    -0.70
     Feld
    -0.69
     Archdemon
    -0.68
    POSITIVE LOGITS
     ethics
    1.21
    onomic
    1.10
     Ethics
    0.94
    ethical
    0.92
    utics
    0.91
    uador
    0.90
    ciplinary
    0.86
    onom
    0.85
     ethic
    0.83
     princ
    0.82
    Activations Density 0.006%

    No Known Activations