© 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. 15800
    Prev
    Next
    INDEX
    Explanations

    sports-related terms and player names

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports performance and player evaluation

    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
     apologised
    -0.87
     apologise
    -0.81
     humour
    -0.70
     quotations
    -0.70
     recount
    -0.69
     inventions
    -0.67
    yrics
    -0.67
     provoked
    -0.66
     Franç
    -0.66
    è
    -0.66
    POSITIVE LOGITS
     versatility
    1.00
     matchup
    1.00
    Draft
    0.99
     backfield
    0.94
    nesota
    0.94
    Pred
    0.92
     scouts
    0.92
     underrated
    0.91
    Grade
    0.91
     upside
    0.90
    Activations Density 0.687%

    No Known Activations