© 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. 3-RES-JB
    11. 17863
    Prev
    Next
    INDEX
    Explanations

    words related to hot drinks, particularly coffee and tea

    oai_token-act-pair · gpt-3.5-turbo

    references to cups and drinking containers

    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
    IGHTS
    -0.74
     Voc
    -0.65
    OUND
    -0.63
     gearing
    -0.62
     Giuliani
    -0.62
    doms
    -0.59
    sbm
    -0.59
    sight
    -0.58
    emale
    -0.57
     Generations
    -0.57
    POSITIVE LOGITS
    cakes
    1.62
    cake
    1.57
    cup
    1.33
     cup
    1.02
     cups
    0.96
    board
    0.92
    boards
    0.81
     Cups
    0.81
    ients
    0.80
    illo
    0.80
    Activations Density 0.007%

    No Known Activations