© 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. 5499
    Prev
    Next
    INDEX
    Explanations

    phrases related to sports statistics, particularly focusing on defensive performance

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to sports performance, particularly goals and defensive records

    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
    Sax
    -0.67
    obil
    -0.65
    ring
    -0.65
    idav
    -0.63
    conom
    -0.63
    izoph
    -0.62
    aida
    -0.61
    TPP
    -0.60
    ovember
    -0.60
    ende
    -0.59
    POSITIVE LOGITS
     turnovers
    1.13
     turnover
    0.89
     fewer
    0.87
     opponents
    0.85
     touchdowns
    0.84
     offense
    0.83
     conceded
    0.83
     differential
    0.82
     surrendered
    0.81
     conced
    0.80
    Activations Density 0.135%

    No Known Activations