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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. 11-RES-JB
    6. 10402
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    INDEX
    Explanations

    mentions of medical-related phrases, especially focusing on medical marijuana and medical care

    oai_token-act-pair · gpt-3.5-turbo

    references to medical topics or terms

    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
    xual
    -0.93
    Publisher
    -0.71
    uble
    -0.71
     Modes
    -0.65
    rer
    -0.64
     Downing
    -0.64
    cair
    -0.63
     Guth
    -0.63
    ween
    -0.63
    hof
    -0.62
    POSITIVE LOGITS
     marijuana
    1.16
     practition
    1.08
     examiner
    1.08
     Marijuana
    1.04
     cannabis
    0.94
    ysis
    0.92
     diagnoses
    0.91
     diagnosis
    0.91
     mal
    0.90
     care
    0.89
    Activations Density 0.038%

    No Known Activations