© 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. 23219
    Prev
    Next
    INDEX
    Explanations

    information related to basketball, particularly NBA teams, players, and games

    oai_token-act-pair · gpt-3.5-turbo

    references to the NBA and basketball-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
    schild
    -0.75
    ledged
    -0.69
    notations
    -0.68
    ought
    -0.67
    atism
    -0.67
    haar
    -0.67
    lear
    -0.67
    ktop
    -0.64
    dit
    -0.64
    shore
    -0.64
    POSITIVE LOGITS
     basketball
    0.95
     Finals
    0.88
    NBA
    0.84
     Pacers
    0.84
    etic
    0.83
     Basketball
    0.82
     NBA
    0.81
    asketball
    0.78
    birds
    0.78
     Hots
    0.75
    Activations Density 0.150%

    No Known Activations