© 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. 0-RES-JB
    11. 11942
    Prev
    Next
    INDEX
    Explanations

    words related to the concept of correctness or accuracy

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "correct" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dogs
    -0.67
    enture
    -0.65
    omed
    -0.63
    inav
    -0.62
     Lif
    -0.61
     Neigh
    -0.59
    lust
    -0.59
    hunt
    -0.59
    ury
    -0.58
    iners
    -0.58
    POSITIVE LOGITS
     correct
    3.81
    correct
    2.44
     Correct
    2.32
     incorrect
    2.30
    Correct
    2.09
     correctly
    1.79
     corrected
    1.79
     accurate
    1.71
     wrong
    1.66
     correctness
    1.65
    Activations Density 0.015%

    No Known Activations