© 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. 18258
    Prev
    Next
    INDEX
    Explanations

    occurrences of the word "precision."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to precision and accuracy

    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
    GW
    -0.89
    otten
    -0.82
    tha
    -0.78
    loo
    -0.75
    Lot
    -0.73
    igan
    -0.72
    Interstitial
    -0.72
    Kin
    -0.72
    bery
    -0.70
     Presidents
    -0.69
    POSITIVE LOGITS
     precision
    1.26
     calibrated
    0.93
     compr
    0.92
     calibr
    0.89
     accuracy
    0.86
     fulfillment
    0.84
     sensitivity
    0.84
    uracy
    0.81
     guiActiveUn
    0.78
     positioning
    0.78
    Activations Density 0.011%

    No Known Activations