© 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. 9-RES-JB
    11. 17088
    Prev
    Next
    INDEX
    Explanations

    mentions of specific professions or roles related to various disciplines or areas of expertise

    oai_token-act-pair · gpt-3.5-turbo

    words related to various occupations and professions

    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
    bernatorial
    -0.77
    adesh
    -0.72
    yss
    -0.70
    reci
    -0.69
     example
    -0.63
    abus
    -0.61
    worthiness
    -0.60
    READ
    -0.59
    okemon
    -0.59
     descriptor
    -0.59
    POSITIVE LOGITS
     who
    1.11
    hips
    1.07
    ervatives
    0.97
    hip
    0.95
     alike
    0.93
     whose
    0.89
    ervative
    0.88
    paces
    0.87
    who
    0.86
     specializing
    0.84
    Activations Density 0.306%

    No Known Activations