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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. 1-RES-JB
    6. 18619
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    INDEX
    Explanations

    references to medical procedures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of surgical procedures

    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
    anza
    -0.79
    spring
    -0.77
    izen
    -0.74
     Prosper
    -0.71
     Energy
    -0.67
    resp
    -0.66
    ership
    -0.63
    erd
    -0.63
    empty
    -0.62
    sheet
    -0.62
    POSITIVE LOGITS
     surgery
    1.36
     Surgery
    1.28
     surgeries
    1.21
     surgeons
    0.99
     amput
    0.92
     surg
    0.89
     medically
    0.85
     anesthesia
    0.84
     surgeon
    0.84
     childbirth
    0.83
    Activations Density 0.017%

    No Known Activations