© 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. 11-RES-JB
    11. 11252
    Prev
    Next
    INDEX
    Explanations

    statistics related to sports performance, particularly focusing on points scored per game

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate statistical performance metrics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Halls
    -0.66
     Benefits
    -0.64
     Rosenberg
    -0.61
    lr
    -0.61
    Redditor
    -0.58
    hess
    -0.58
    bys
    -0.57
    naires
    -0.57
    hoe
    -0.56
    knit
    -0.56
    POSITIVE LOGITS
     outing
    1.00
     game
    0.95
     attempt
    0.94
     contest
    0.91
    game
    0.81
     possession
    0.79
     capita
    0.79
    Attempt
    0.76
    tains
    0.76
     matchup
    0.76
    Activations Density 0.025%

    No Known Activations