© 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. 3-RES-JB
    11. 9325
    Prev
    Next
    INDEX
    Explanations

    quantities of liquids, especially in large amounts

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities of gallons in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eering
    -0.81
     skelet
    -0.75
    spons
    -0.74
     Fram
    -0.73
    eer
    -0.67
     Krish
    -0.64
     rationale
    -0.62
     Cron
    -0.60
     Valhalla
    -0.60
     Malik
    -0.60
    POSITIVE LOGITS
     gallons
    1.09
     litres
    1.01
     gallon
    0.99
     jug
    0.87
     barrels
    0.81
    oline
    0.80
    assing
    0.77
    wagen
    0.76
    Bott
    0.75
    cake
    0.75
    Activations Density 0.008%

    No Known Activations