© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it
    Neuronpedia
    Jacobian LensNEW
    Natural Language
    Autoencoders
    MAY 26    Assistant AxisJAN 26Circuit TracerAPR 26SteerSAE EvalsExportsinterp-engineNEW Community BlogPrivacy & TermsContact
    1. Home
    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 24576
    9. 8-RES_FS24576-JB
    11. 15661
    Prev
    Next
    INDEX
    Explanations

    names of individuals and positions in a professional context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs24576-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_24576
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.23
    1.1%
    480
    +0.21
    1.0%
    141
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    659
    +0.23
    0.07
    326
    +0.21
    0.07
    267
    +0.09
    0.04
    Negative Logits
    interstitial
    -0.85
     consolidation
    -0.71
     accumulating
    -0.68
     CFL
    -0.64
    ibaba
    -0.63
    zens
    -0.61
     encomp
    -0.57
     determining
    -0.57
     leveraging
    -0.56
    undreds
    -0.56
    POSITIVE LOGITS
    .:
    0.93
     Reply
    0.85
     ----------------------------------------------------------------
    0.85
     (@
    0.85
     Retrieved
    0.83
    .}
    0.83
     :)
    0.81
     +++
    0.80
     ;)
    0.79
     =================================================================
    0.78
    Activations Density 0.613%

    No Known Activations