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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. 14368
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    Explanations

    references to numbers and technical terms like "Patriot Act" or "sanctions bill."

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to legal or official documents

    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
     simplicity
    -0.73
     raft
    -0.72
     affordability
    -0.69
    arest
    -0.67
     ditch
    -0.66
     gloom
    -0.65
     cycling
    -0.63
     hospitality
    -0.62
     mediation
    -0.62
     fairness
    -0.61
    POSITIVE LOGITS
     partName
    1.03
    238
    0.98
    889
    0.93
    9999
    0.93
    793
    0.92
    688
    0.91
    368
    0.90
    888
    0.90
    488
    0.90
    289
    0.89
    Activations Density 0.034%

    No Known Activations