© 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. 9-RES-JB
    11. 6051
    Prev
    Next
    INDEX
    Explanations

    government agencies and regulatory bodies, particularly focusing on ones related to food, drugs, and wildlife

    oai_token-act-pair · gpt-3.5-turbo

    repetitive use of the conjunction "and" in contexts related to government agencies and food-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hower
    -0.81
    chev
    -0.80
    alam
    -0.71
    alore
    -0.70
    chwitz
    -0.68
    nels
    -0.67
    church
    -0.66
     inhibitors
    -0.65
     inhibitor
    -0.65
    irez
    -0.64
    POSITIVE LOGITS
     Devices
    1.02
     Fitness
    1.02
     Services
    1.00
     Aging
    0.98
     Electronics
    0.97
     Resources
    0.96
     Terrorism
    0.96
     Physical
    0.95
     Culture
    0.94
     Environmental
    0.94
    Activations Density 0.075%

    No Known Activations