© 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. 3429
    Prev
    Next
    INDEX
    Explanations

    phrases emphasizing the intensity or extremeness of a particular quality or situation

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers expressing strong emotions or evaluations

    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
    elsen
    -0.76
    eto
    -0.72
    Frames
    -0.70
    amide
    -0.69
    kowski
    -0.69
    ulton
    -0.69
    isms
    -0.69
    igi
    -0.68
    eday
    -0.67
    iture
    -0.67
    POSITIVE LOGITS
     difficult
    1.08
     valuable
    1.01
     rare
    1.00
     important
    0.96
     frustrating
    0.96
     versatile
    0.96
     profitable
    0.94
     dangerous
    0.94
     unlikely
    0.94
     expensive
    0.94
    Activations Density 0.059%

    No Known Activations