© 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. 10-RES-JB
    11. 1436
    Prev
    Next
    INDEX
    Explanations

    mentions of disastrous events or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to disasters and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    skirts
    -0.77
    Ģ
    -0.76
    ells
    -0.74
    rab
    -0.73
    ular
    -0.72
    eton
    -0.71
    ularity
    -0.69
    glomer
    -0.68
    reenshots
    -0.67
    erd
    -0.67
    POSITIVE LOGITS
     catast
    0.98
     aver
    0.94
     devast
    0.92
     wrought
    0.91
     inflicted
    0.90
     scenario
    0.89
     unfolding
    0.89
     catastrophe
    0.88
     engulf
    0.86
     disaster
    0.86
    Activations Density 0.088%

    No Known Activations