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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 22598
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    Explanations

    mentions of legal statutes or laws

    oai_token-act-pair · gpt-3.5-turbo

    references to legal statutes and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hra
    -0.68
    cale
    -0.63
    ihar
    -0.63
     unin
    -0.62
    oyal
    -0.62
     attendants
    -0.60
    pper
    -0.59
    alin
    -0.59
    ebus
    -0.59
    usky
    -0.58
    POSITIVE LOGITS
    Effective
    0.93
     statute
    0.89
    book
    0.87
    Thumbnail
    0.83
     enforcement
    0.78
     expires
    0.77
    isms
    0.76
    urally
    0.75
     rewritten
    0.74
    inition
    0.74
    Activations Density 0.006%

    No Known Activations