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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. 0-RES-JB
    11. 18289
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    INDEX
    Explanations

    proper nouns related to specific standards or institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to standards and governing organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     harbour
    -0.66
     rooting
    -0.65
     favourable
    -0.64
     loan
    -0.64
     lure
    -0.63
     combination
    -0.62
     sparing
    -0.61
     favorable
    -0.61
     harbor
    -0.61
    emaker
    -0.61
    POSITIVE LOGITS
     Standards
    3.88
     Guidelines
    1.15
     Standard
    1.11
     Oversight
    0.97
     Inform
    0.96
     Practices
    0.96
     Certification
    0.95
     Compl
    0.94
    Standard
    0.91
     Principles
    0.91
    Activations Density 0.026%

    No Known Activations