© 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. 7008
    Prev
    Next
    INDEX
    Explanations

    phrases related to problem-solving or uncovering hidden information

    oai_token-act-pair · gpt-3.5-turbo

    phrases focused on problem-solving and understanding

    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
    interstitial
    -0.78
    mite
    -0.75
    awn
    -0.72
    agos
    -0.71
    isSpecialOrderable
    -0.71
     earthqu
    -0.68
    aware
    -0.67
    cious
    -0.66
    osite
    -0.64
    attery
    -0.63
    POSITIVE LOGITS
     how
    1.31
     why
    1.22
     ways
    1.15
     WHY
    1.05
    how
    0.97
     HOW
    0.95
     what
    0.95
     whats
    0.91
    why
    0.86
     exactly
    0.85
    Activations Density 0.037%

    No Known Activations