© 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. 0-RES-JB
    11. 2224
    Prev
    Next
    INDEX
    Explanations

    food items, specifically bacon, coconut, and socks

    oai_token-act-pair · gpt-3.5-turbo

    food-related items and ingredients, particularly focusing on bacon and coconut

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zimbabwe
    -0.78
    rang
    -0.74
     Hur
    -0.74
    AGES
    -0.71
     Hitch
    -0.68
    Hop
    -0.68
    Gray
    -0.68
    hang
    -0.67
     Beetle
    -0.66
     Hir
    -0.65
    POSITIVE LOGITS
     coconut
    2.07
     socks
    1.97
     bacon
    1.83
     butter
    1.79
     saturated
    1.66
     cinnamon
    1.66
     almonds
    1.60
     Coconut
    1.57
     fats
    1.57
     oils
    1.42
    Activations Density 0.038%

    No Known Activations