© 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 EvalsExportsAPI 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. 3-RES-JB
    11. 4830
    Prev
    Next
    INDEX
    Explanations

    instances where the word "quite" is used in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize degree or intensity, specifically the word "quite."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venant
    -0.88
    selage
    -0.77
    PLIED
    -0.77
    igraph
    -0.75
    elsen
    -0.74
    ults
    -0.73
    olan
    -0.73
    EStream
    -0.72
    ultimate
    -0.69
     DRAG
    -0.69
    POSITIVE LOGITS
     frankly
    0.74
     readable
    0.67
     muddy
    0.65
     unpleasant
    0.64
     frightening
    0.63
     fitting
    0.62
    \\\\
    0.61
     Quite
    0.61
     enough
    0.61
     nice
    0.60
    Activations Density 0.015%

    No Known Activations