© 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 EvalsExportsinterp-engineNEWAPI 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. 23474
    Prev
    Next
    INDEX
    Explanations

    measurements related to liquid volumes

    oai_token-act-pair · gpt-3.5-turbo

    quantities and measurements related to substances or waste

    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
    eering
    -0.72
    actionDate
    -0.71
    Kings
    -0.69
    gotten
    -0.66
    versely
    -0.66
    ĻĤ
    -0.64
    NOR
    -0.63
     Cron
    -0.60
     exception
    -0.60
    eer
    -0.58
    POSITIVE LOGITS
    poons
    0.96
     of
    0.89
     thereof
    0.88
     worth
    0.87
     apiece
    0.85
     (~
    0.84
     lbs
    0.84
     annually
    0.83
     per
    0.81
     capacity
    0.80
    Activations Density 0.091%

    No Known Activations