© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    APIAssistant AxisNEWCircuit TracerNEWSteerSAE EvalsExports 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. 23867
    Prev
    Next
    INDEX
    Explanations

    ingredients commonly found in food dishes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of cheese in food-related contexts

    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
    ITNESS
    -0.82
    rha
    -0.78
    oday
    -0.78
    aylor
    -0.74
    ogue
    -0.72
    endment
    -0.71
    imester
    -0.71
    itability
    -0.70
    igators
    -0.69
    mable
    -0.69
    POSITIVE LOGITS
    cloth
    1.55
     cheese
    1.29
     slic
    1.14
     fries
    1.13
     sandwiches
    1.12
     sauce
    1.09
     Cheese
    1.09
     sandwich
    1.06
     chees
    1.05
     sauces
    1.01
    Activations Density 0.048%

    No Known Activations