© 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 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. 8-RES-JB
    11. 4164
    Prev
    Next
    INDEX
    Explanations

    words related to dietary habits and food consumption

    oai_token-act-pair · gpt-3.5-turbo

    references to diet and dietary habits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Morse
    -0.74
     Dam
    -0.70
     bidding
    -0.70
     Pon
    -0.69
     Receiver
    -0.69
     Avalon
    -0.68
     Patterson
    -0.67
     Moff
    -0.66
    channelAvailability
    -0.66
    Constructed
    -0.66
    POSITIVE LOGITS
    etics
    1.23
    etic
    1.21
    eteria
    1.16
    rition
    1.12
    etically
    1.04
     diet
    0.98
    amins
    0.97
    onut
    0.93
     Coke
    0.91
    ohydrate
    0.91
    Activations Density 0.043%

    No Known Activations