© 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. 16676
    Prev
    Next
    INDEX
    Explanations

    mentions of heavy weight or quantity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ton" and its variations in the text

    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
     Journals
    -0.84
    inside
    -0.72
    speak
    -0.70
     Children
    -0.67
     Answers
    -0.66
     Bind
    -0.66
    igrate
    -0.66
    aucuses
    -0.65
    pires
    -0.64
    ises
    -0.62
    POSITIVE LOGITS
     ton
    3.95
    Ton
    2.20
     Ton
    1.92
     tons
    1.88
     tonnes
    1.46
    ton
    1.24
     tones
    1.24
     lot
    1.22
     LOT
    1.20
    tons
    1.16
    Activations Density 0.013%

    No Known Activations