© 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. 7-RES-JB
    11. 20755
    Prev
    Next
    INDEX
    Explanations

    words related to catastrophic events or severe impacts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "devastating" and related terms discussing severe negative impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ploma
    -0.79
    cius
    -0.76
    walk
    -0.75
    Frames
    -0.70
    angelo
    -0.70
    cling
    -0.70
    etch
    -0.67
    skirts
    -0.66
    rahim
    -0.65
    uties
    -0.65
    POSITIVE LOGITS
    ly
    1.10
     havoc
    0.96
     blow
    0.95
     consequences
    0.94
     impacts
    0.89
    ally
    0.88
     consequence
    0.87
     impact
    0.86
     devast
    0.86
     damage
    0.85
    Activations Density 0.049%

    No Known Activations