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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. 10-RES-JB
    6. 22756
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    Explanations

    medical procedures and advancements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to medical procedures and advancements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lag
    -0.87
    Maps
    -0.86
     Parking
    -0.81
    warn
    -0.79
     Ratings
    -0.78
    Beer
    -0.73
     Streets
    -0.71
    âĸ¬
    -0.70
    storms
    -0.69
    rants
    -0.68
    POSITIVE LOGITS
     Canaver
    1.86
     surgery
    1.63
     transplant
    1.62
     implant
    1.62
     surg
    1.55
     surgeons
    1.54
     implants
    1.54
     surgeries
    1.53
     transpl
    1.47
     implanted
    1.46
    Activations Density 0.454%

    No Known Activations