© 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. 15935
    Prev
    Next
    INDEX
    Explanations

    connections between different components or elements and emphasize their interdependence

    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
    608
    +0.11
    0.5%
    497
    +0.10
    0.4%
    647
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    608
    +0.11
    0.04
    647
    +0.10
    0.03
    323
    +0.09
    0.03
    Negative Logits
    TPPStreamerBot
    -0.79
    quickShipAvailable
    -0.71
    INESS
    -0.65
    tymology
    -0.65
     reprinted
    -0.64
    Commerce
    -0.63
    ceivable
    -0.63
    DEN
    -0.63
     aloud
    -0.63
    Photos
    -0.63
    POSITIVE LOGITS
     underside
    0.82
     shore
    0.81
     bedrock
    0.77
     srfAttach
    0.73
     handle
    0.72
     convey
    0.68
     prevent
    0.68
     grid
    0.67
     GPIO
    0.66
     whichever
    0.65
    Activations Density 0.131%

    No Known Activations