© 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. 2-RES-JB
    11. 14291
    Prev
    Next
    INDEX
    Explanations

    mentions of different types of foods

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of foods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     PV
    -0.67
     Lash
    -0.64
     Gib
    -0.64
     Saud
    -0.64
     Devils
    -0.62
     Bots
    -0.62
     Czech
    -0.62
     Riders
    -0.61
    vernment
    -0.61
     Elk
    -0.60
    POSITIVE LOGITS
     foods
    1.19
     eaten
    1.03
    isine
    0.91
     ingested
    0.89
    paste
    0.85
     nutrit
    0.84
    cakes
    0.84
    ogi
    0.83
     cooked
    0.83
     fermented
    0.83
    Activations Density 0.021%

    No Known Activations