© 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. 13720
    Prev
    Next
    INDEX
    Explanations

    mentions of transportation infrastructure projects, specifically focusing on subway lines and related details

    oai_token-act-pair · gpt-3.5-turbo

    references to different transit lines and systems

    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
     Hague
    -0.73
    grave
    -0.72
    gren
    -0.72
    Folder
    -0.71
    untu
    -0.71
    raised
    -0.70
    racuse
    -0.69
    rieved
    -0.67
    iar
    -0.66
     Baghd
    -0.66
    POSITIVE LOGITS
     trains
    1.20
     Transit
    1.20
     buses
    1.16
     commute
    1.15
     commuter
    1.10
     commuters
    1.05
     subway
    1.04
     streetcar
    1.04
     Amtrak
    1.03
     fares
    1.02
    Activations Density 0.165%

    No Known Activations