© 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 · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 15037
    Prev
    Next
    INDEX
    Explanations

    phrases related to references or citations (e.g., "see 9")

    oai_token-act-pair · gpt-3.5-turbo

    references to supplementary information or citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     heavily
    -0.73
     loaded
    -0.70
     wise
    -0.69
     lav
    -0.65
     stacked
    -0.62
     deep
    -0.62
     tall
    -0.62
     friendly
    -0.61
     assets
    -0.61
     rolling
    -0.60
    POSITIVE LOGITS
    see
    3.87
    See
    1.97
    SEE
    1.82
     See
    1.54
    seen
    1.44
    seeing
    1.41
     SEE
    1.39
     see
    1.33
    please
    1.30
    remember
    1.27
    Activations Density 0.011%

    No Known Activations