© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it
    Neuronpedia
    Jacobian LensNEW
    Natural Language
    Autoencoders
    MAY 26    Assistant AxisJAN 26Circuit TracerAPR 26SteerSAE EvalsExportsinterp-engineNEW 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. 11-RES-JB
    11. 12711
    Prev
    Next
    INDEX
    Explanations

    questions starting with "How"

    oai_token-act-pair · gpt-3.5-turbo

    questions that start with "How."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     whatsoever
    -0.67
     hereafter
    -0.64
    âĹ¼
    -0.60
    acity
    -0.60
    ptions
    -0.57
    intent
    -0.56
    "}],"
    -0.56
    iHUD
    -0.56
    piece
    -0.56
    rum
    -0.55
    POSITIVE LOGITS
     Does
    1.20
     Much
    1.03
     Did
    1.03
    dy
    1.02
     Would
    0.95
     does
    0.95
     Do
    0.93
     did
    0.93
     do
    0.89
     Many
    0.89
    Activations Density 0.044%

    No Known Activations