© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    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. 2-RES-JB
    11. 4118
    Prev
    Next
    INDEX
    Explanations

    adverbs conveying seriousness or importance

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "seriously."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.93
    ifully
    -0.73
    atu
    -0.72
     Kinnikuman
    -0.69
    ramid
    -0.68
    AUT
    -0.68
     Gates
    -0.66
    iful
    -0.65
    eer
    -0.65
    guyen
    -0.64
    POSITIVE LOGITS
    serious
    0.92
     seriously
    0.89
     bothering
    0.77
     serious
    0.74
    minent
    0.73
     Seriously
    0.72
     considering
    0.70
    relevant
    0.70
     enough
    0.70
     consider
    0.69
    Activations Density 0.010%

    No Known Activations