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

    Neuronpedia

    APIAssistant AxisNEWCircuit TracerNEWSteerSAE EvalsExports 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. 19960
    Prev
    Next
    INDEX
    Explanations

    the word "Much" followed by content that varies from medical terms to philosophical topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the word "Much" as a quantifier

    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
    ubs
    -0.67
     cycle
    -0.66
     disqual
    -0.66
     holder
    -0.66
     holders
    -0.64
     certificate
    -0.63
     reflex
    -0.62
     condition
    -0.62
     invol
    -0.61
     expired
    -0.61
    POSITIVE LOGITS
     Much
    2.91
    Much
    2.75
    much
    2.18
     MUCH
    1.90
     Many
    1.56
     much
    1.54
     Often
    1.40
     Quite
    1.25
     Almost
    1.24
    Many
    1.23
    Activations Density 0.011%

    No Known Activations