© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Jacobian LensNEW
    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsinterp-engineNEWAPI 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. 11-RES-JB
    11. 13523
    Prev
    Next
    INDEX
    Explanations

    phrases indicating a high level of commitment or focus towards a specific topic or task

    oai_token-act-pair · gpt-3.5-turbo

    instances of the words "devoted" or "dedicated" as they relate to commitment to a cause or topic

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CHA
    -0.69
    estamp
    -0.66
    dos
    -0.64
    PIN
    -0.63
    WARN
    -0.62
    heard
    -0.61
    acqu
    -0.61
    anka
    -0.58
    COL
    -0.58
     overheard
    -0.57
    POSITIVE LOGITS
     solely
    1.04
     devoted
    1.03
     exclusively
    1.00
     entirely
    0.92
     dedicated
    0.87
    itionally
    0.79
     devote
    0.78
     dedicate
    0.77
     wholly
    0.77
     strictly
    0.74
    Activations Density 0.045%

    No Known Activations