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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 6713
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    Explanations

    health-related terms and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to rare diseases and their symptoms

    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
    soDeliveryDate
    -0.97
     Vide
    -0.81
    displayText
    -0.78
    enaries
    -0.77
    dump
    -0.75
    ctuary
    -0.72
    Lago
    -0.70
    assetsadobe
    -0.67
    ertodd
    -0.65
    maxwell
    -0.65
    POSITIVE LOGITS
     diseases
    1.70
     ailments
    1.65
     illnesses
    1.65
     disease
    1.62
     ail
    1.61
     disorders
    1.59
     illness
    1.58
     disorder
    1.52
     autoimmune
    1.42
     Diseases
    1.42
    Activations Density 0.197%

    No Known Activations