© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Jacobian LensNEW
    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 13578
    Prev
    Next
    INDEX
    Explanations

    the word "married"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "married."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iasco
    -0.68
    ussion
    -0.67
    VO
    -0.66
    amine
    -0.64
     Zombie
    -0.63
     Safety
    -0.63
    ership
    -0.63
     Depot
    -0.62
     outlets
    -0.61
    ACC
    -0.61
    POSITIVE LOGITS
     married
    3.60
    married
    2.77
     Married
    2.70
     divorced
    2.40
     unmarried
    2.07
     marrying
    2.04
     marry
    2.04
     marriage
    1.85
     marriages
    1.82
     divor
    1.75
    Activations Density 0.008%

    No Known Activations