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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. 11-RES-JB
    11. 183
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    Explanations

    mentions of licensed or certified professionals, medical expertise, or regulatory compliance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to professional licensing and certifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pling
    -0.76
    uating
    -0.73
    enos
    -0.73
    lled
    -0.72
    bags
    -0.71
    bill
    -0.70
    uated
    -0.70
    ploy
    -0.70
    ollen
    -0.69
    bj
    -0.68
    POSITIVE LOGITS
     instructors
    0.79
     bidder
    0.76
     firearms
    0.74
     professionals
    0.74
     dealers
    0.74
     dealer
    0.73
     veterinarian
    0.73
     premises
    0.72
     Professional
    0.72
     apprentices
    0.72
    Activations Density 0.099%

    No Known Activations