© 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. 9-RES-JB
    11. 7183
    Prev
    Next
    INDEX
    Explanations

    phrases related to forceful actions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    actions related to physical movement or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.60
    MAT
    -0.60
    Solution
    -0.60
     restricting
    -0.59
    Impl
    -0.59
    how
    -0.58
    where
    -0.56
    terday
    -0.56
     respect
    -0.56
    iaz
    -0.56
    POSITIVE LOGITS
     up
    0.79
    ezvous
    0.74
    kered
    0.74
     noses
    0.73
     off
    0.66
     horns
    0.66
     toes
    0.64
     awake
    0.64
     necks
    0.63
     yourselves
    0.63
    Activations Density 0.373%

    No Known Activations