© 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. 3-RES-JB
    11. 21030
    Prev
    Next
    INDEX
    Explanations

    phrases related to data quality issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data quality issues, particularly those indicating incompleteness or insufficiency

    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
    ocard
    -0.80
    =-=-=-=-=-=-=-=-
    -0.69
    Issue
    -0.68
    addafi
    -0.67
    issue
    -0.67
    RH
    -0.66
    psc
    -0.65
    btn
    -0.64
    Ru
    -0.64
    uddin
    -0.64
    POSITIVE LOGITS
    ly
    1.05
    uously
    0.93
     incomplete
    0.91
    uous
    0.89
    nesses
    0.81
     imperfect
    0.80
    ities
    0.77
    ioned
    0.75
    kered
    0.74
    ives
    0.68
    Activations Density 0.023%

    No Known Activations