© 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 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. 19604
    Prev
    Next
    INDEX
    Explanations

    the word "mere" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mere" or its variations, indicating triviality or smallness

    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
     PLUS
    -0.67
    also
    -0.65
     Also
    -0.63
     definitely
    -0.62
     Cursed
    -0.61
     smartest
    -0.61
     accordingly
    -0.60
     especially
    -0.60
    agically
    -0.58
     entire
    -0.58
    POSITIVE LOGITS
     mortals
    1.24
    ifiable
    0.91
     superficial
    0.82
    iciary
    0.80
     curiosity
    0.79
     curs
    0.79
     coincidence
    0.77
     mortal
    0.76
     cosmetic
    0.76
     guiActiveUn
    0.75
    Activations Density 0.048%

    No Known Activations