© 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. 4-RES-JB
    11. 22403
    Prev
    Next
    INDEX
    Explanations

    words related to physical injuries and wound care

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries or wounds

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

    No Comments

    Negative Logits
    ĨĴ
    -0.78
    essions
    -0.76
    rador
    -0.76
    authorized
    -0.76
    anooga
    -0.75
    agically
    -0.74
    ordan
    -0.72
    alty
    -0.70
    ructose
    -0.68
    */(
    -0.67
    POSITIVE LOGITS
     wounds
    1.07
     inflicted
    0.97
     wound
    0.94
    robe
    0.89
    burn
    0.83
     Hole
    0.78
    bow
    0.74
    warm
    0.74
    bolt
    0.73
    eful
    0.70
    Activations Density 0.014%

    No Known Activations