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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

    mentions of zoning laws and regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to zoning regulations and laws

    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
    milo
    -0.82
    lli
    -0.78
    parts
    -0.77
    Downloadha
    -0.76
    teness
    -0.72
    asts
    -0.71
    swer
    -0.69
    pine
    -0.68
    Scot
    -0.68
    ighty
    -0.68
    POSITIVE LOGITS
     zoning
    1.37
     ordinances
    1.02
     approvals
    0.91
     ordinance
    0.89
     billboards
    0.81
     tracts
    0.79
     variance
    0.74
     tenants
    0.74
     landlords
    0.73
     billboard
    0.72
    Activations Density 0.005%

    No Known Activations