© 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 · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 24576
    9. 8-RES_FS24576-JB
    11. 20856
    Prev
    Next
    INDEX
    Explanations

    technical terms related to web development and programming

    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
    373
    +0.19
    0.9%
    459
    +0.16
    0.7%
    756
    +0.13
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    459
    +0.19
    0.05
    756
    +0.16
    -0.01
    497
    +0.13
    0.04
    Negative Logits
    assion
    -0.76
     Freak
    -0.76
    UGH
    -0.72
    Ħ¢
    -0.70
     disillusion
    -0.70
    gypt
    -0.70
     reconsider
    -0.68
     regretted
    -0.68
     Suffolk
    -0.67
     gust
    -0.65
    POSITIVE LOGITS
     initialized
    1.09
     integers
    1.09
     consists
    1.02
     specifies
    1.01
     defines
    0.99
     corresponds
    0.98
     consisting
    0.98
     outputs
    0.97
     optionally
    0.95
     Input
    0.93
    Activations Density 0.511%

    No Known Activations