© 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. 8-RES-JB
    11. 2524
    Prev
    Next
    INDEX
    Explanations

    terms related to unintended consequences, unintended pregnancies, and unintentional actions

    oai_token-act-pair · gpt-3.5-turbo

    references to unintended or unwanted consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ardless
    -0.90
    emark
    -0.86
    nosis
    -0.81
    etics
    -0.78
    sheet
    -0.77
    ebus
    -0.75
    elsen
    -0.75
    ramids
    -0.73
    olitan
    -0.72
    ĪĴ
    -0.72
    POSITIVE LOGITS
     pregnancies
    1.06
     consequence
    0.95
     unintended
    0.94
    aneous
    0.87
     consequences
    0.87
     bystand
    0.85
     complication
    0.84
     collateral
    0.81
     pregnancy
    0.81
     touches
    0.76
    Activations Density 0.146%

    No Known Activations