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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. 3-RES-JB
    6. 14881
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    Explanations

    terms related to diseases and health organizations, specifically mentioning the Centers for Disease Control and Prevention (CDC)

    oai_token-act-pair · gpt-3.5-turbo

    references to diseases and health-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    milo
    -0.72
    */(
    -0.68
    comings
    -0.68
    dyl
    -0.68
    skirts
    -0.67
    verts
    -0.67
    uckland
    -0.67
     jug
    -0.67
    versions
    -0.66
    eton
    -0.65
    POSITIVE LOGITS
     Disease
    1.13
     Prevention
    1.02
     Outbreak
    0.99
     Diseases
    0.94
     Infect
    0.92
     Rating
    0.88
     Risk
    0.87
     Affairs
    0.87
     Disorders
    0.85
     Reconstruction
    0.84
    Activations Density 0.007%

    No Known Activations