© 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. 0-RES-JB
    11. 1409
    Prev
    Next
    INDEX
    Explanations

    The main thing this neuron does is find verbs related to smelling or detecting something, such as "whiff," and words related to errors or mistakes, such as "botched" or "sloppy."

    oai_token-act-pair · gpt-3.5-turbo

    words related to sensory experiences and errors or failures

    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
    stals
    -0.80
     Sirius
    -0.74
     portal
    -0.72
     Pry
    -0.70
    xp
    -0.67
    ORPG
    -0.66
     differentiation
    -0.64
     horns
    -0.63
     alternate
    -0.63
    cry
    -0.62
    POSITIVE LOGITS
     whiff
    2.43
     botched
    2.28
     bung
    1.85
     mishand
    1.75
     sloppy
    1.48
     misses
    1.38
     Oops
    1.29
    gio
    1.20
     clumsy
    1.20
     DOM
    1.19
    Activations Density 0.075%

    No Known Activations