© 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 EvalsExportsinterp-engineNEWAPI 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. 20816
    Prev
    Next
    INDEX
    Explanations

    terms related to power supply and technology components

    oai_token-act-pair · gpt-3.5-turbo

    references to electrical power and energy specifications

    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
     Von
    -0.82
    romeda
    -0.75
     Debor
    -0.69
     kHz
    -0.68
     Absent
    -0.66
    oslov
    -0.65
     seq
    -0.65
    ean
    -0.65
     Schiff
    -0.64
    ead
    -0.64
    POSITIVE LOGITS
    stroke
    1.04
     outage
    0.92
    Reviewer
    0.92
    train
    0.89
    lifting
    0.86
    plant
    0.85
    houses
    0.82
     exerc
    0.82
    chair
    0.81
    boats
    0.81
    Activations Density 0.030%

    No Known Activations