© 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. 23642
    Prev
    Next
    INDEX
    Explanations

    information related to sports events and results

    oai_token-act-pair · gpt-3.5-turbo

    instances of sporting events and their outcomes

    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
     Tuls
    -0.95
     DOT
    -0.88
    ospons
    -0.87
    GOP
    -0.86
     MFT
    -0.79
     DOE
    -0.78
     ALEC
    -0.78
     DOJ
    -0.77
    Congress
    -0.76
    Larry
    -0.76
    POSITIVE LOGITS
     favourites
    1.39
     defences
    1.30
     relegation
    1.24
     realise
    1.22
     unbeaten
    1.20
     analyse
    1.16
     organise
    1.16
     defence
    1.16
     Premiership
    1.14
     enqu
    1.13
    Activations Density 0.685%

    No Known Activations