© 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. 9-RES-JB
    11. 16682
    Prev
    Next
    INDEX
    Explanations

    descriptions of violent or distressing situations, especially related to crime

    oai_token-act-pair · gpt-3.5-turbo

    expressions of severe social issues and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Specifically
    -0.86
     optimizing
    -0.71
    ebus
    -0.71
    apter
    -0.70
     proprietary
    -0.69
     compatibility
    -0.69
     Specifically
    -0.67
    Regarding
    -0.67
    --+
    -0.67
     issuance
    -0.67
    POSITIVE LOGITS
     horror
    1.05
     horrors
    1.03
     Orwell
    0.99
     tragedies
    0.97
     haunting
    0.97
     horrifying
    0.96
     brutality
    0.94
     unforgettable
    0.93
     horrific
    0.92
     eerie
    0.91
    Activations Density 1.296%

    No Known Activations