© 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. 13734
    Prev
    Next
    INDEX
    Explanations

    statements describing numerical values or margins of error in data

    oai_token-act-pair · gpt-3.5-turbo

    statistical terms and concepts related to margins of error and polling data

    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
     Trance
    -0.79
    Reloaded
    -0.68
    ivating
    -0.64
    aceae
    -0.63
    ulkan
    -0.62
    Merit
    -0.61
     starved
    -0.61
     sche
    -0.61
    din
    -0.61
    APTER
    -0.61
    POSITIVE LOGITS
     +/-
    1.14
     error
    0.99
     margin
    0.98
     margins
    0.90
     variance
    0.90
     errors
    0.89
     accuracy
    0.88
     deviation
    0.86
     statistical
    0.86
     coefficient
    0.84
    Activations Density 0.139%

    No Known Activations