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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. 4-RES-JB
    6. 12784
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    Explanations

    terms related to healthcare legislation and policies

    oai_token-act-pair · gpt-3.5-turbo

    references to healthcare-related topics

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

    No Comments

    Negative Logits
    inished
    -0.70
     Hamm
    -0.67
     sqor
    -0.66
    sequent
    -0.66
    atan
    -0.65
     Mosque
    -0.63
    amy
    -0.63
    stantial
    -0.62
    Comment
    -0.62
    isher
    -0.62
    POSITIVE LOGITS
     healthcare
    1.05
     professionals
    0.99
     providers
    0.94
    amacare
    0.90
    care
    0.87
     facilities
    0.86
    aceutical
    0.85
     provider
    0.85
     practitioners
    0.85
     practitioner
    0.83
    Activations Density 0.010%

    No Known Activations