© 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. 23079
    Prev
    Next
    INDEX
    Explanations

    references to data collection and analysis from various sources

    oai_token-act-pair · gpt-3.5-turbo

    references to data collection and research methodology

    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
    elo
    -0.78
    udos
    -0.70
    pless
    -0.67
    answered
    -0.67
    ultimate
    -0.66
    ilogy
    -0.65
    hemy
    -0.64
    perfect
    -0.64
    ihad
    -0.64
    piracy
    -0.62
    POSITIVE LOGITS
     varying
    0.74
     various
    0.71
     nearby
    0.62
     respective
    0.60
     Eastern
    0.59
     Cent
    0.57
     Lod
    0.55
     guid
    0.55
     Western
    0.55
     Tib
    0.55
    Activations Density 0.863%

    No Known Activations