© 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. 19159
    Prev
    Next
    INDEX
    Explanations

    text related to physical injuries, specifically wounds

    oai_token-act-pair · gpt-3.5-turbo

    references to physical injuries, particularly gunshot wounds

    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
     Alone
    -0.73
     Blocks
    -0.71
     Alph
    -0.67
    comments
    -0.66
     blocks
    -0.63
    blocks
    -0.63
    Domin
    -0.63
     Fighters
    -0.62
    é¾įå
    -0.61
    edom
    -0.59
    POSITIVE LOGITS
     wound
    4.22
     wounds
    2.00
     wounding
    1.42
     winding
    1.24
     wounded
    1.16
     fracture
    1.14
     ended
    1.04
     wind
    0.99
     clot
    0.97
     injury
    0.94
    Activations Density 0.014%

    No Known Activations