© 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. 8-RES-JB
    11. 10996
    Prev
    Next
    INDEX
    Explanations

    phrases in a text that emphasize importance or draw attention to specific information

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "highlight" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hell
    -0.77
    ja
    -0.74
    itte
    -0.71
    onz
    -0.69
    mia
    -0.67
    thood
    -0.66
    shake
    -0.65
    etheless
    -0.63
    gypt
    -0.63
    gage
    -0.63
    POSITIVE LOGITS
     reel
    0.92
     highlights
    0.90
     weaknesses
    0.85
    ibilities
    0.82
     shortcomings
    0.79
     features
    0.79
    ibility
    0.77
    features
    0.77
     deficiencies
    0.76
     flaws
    0.76
    Activations Density 0.066%

    No Known Activations