© 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. 4149
    Prev
    Next
    INDEX
    Explanations

    keywords related to computer operations and file management

    oai_token-act-pair · gpt-3.5-turbo

    technical terms associated with software functionality and scanning processes

    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
    enture
    -0.76
    jah
    -0.74
    ppe
    -0.72
    ulture
    -0.69
    fal
    -0.66
    reau
    -0.65
    gal
    -0.64
    akening
    -0.64
    rolet
    -0.64
    rez
    -0.63
    POSITIVE LOGITS
     automatically
    1.26
     dynamically
    0.96
     incoming
    0.91
     notifications
    0.84
     randomly
    0.83
     itself
    0.82
     detects
    0.81
     EVERY
    0.75
     milliseconds
    0.74
     random
    0.73
    Activations Density 0.441%

    No Known Activations