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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. 6-RES-JB
    6. 21331
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    Explanations

    doctors or medical professionals

    oai_token-act-pair · gpt-3.5-turbo

    references to medical professionals, specifically doctors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Territories
    -0.90
     Flavoring
    -0.75
    ptions
    -0.67
    uble
    -0.65
    âĸ¬
    -0.64
    CHAT
    -0.62
    regate
    -0.60
     Liberation
    -0.59
    plings
    -0.59
    via
    -0.58
    POSITIVE LOGITS
     doctor
    1.01
     prescribing
    0.93
    doctor
    0.93
     examiner
    0.88
     physician
    0.86
     specializing
    0.85
     practitioner
    0.84
     doctors
    0.83
     treating
    0.83
     care
    0.80
    Activations Density 0.023%

    No Known Activations