© 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. 3-RES-JB
    11. 20586
    Prev
    Next
    INDEX
    Explanations

    words related to legal actions or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "brought" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    schild
    -0.79
    raid
    -0.70
    dating
    -0.68
    codes
    -0.67
    ede
    -0.66
    enture
    -0.66
     ellipt
    -0.64
    ovember
    -0.64
    iology
    -0.64
     guiActiveUn
    -0.64
    POSITIVE LOGITS
     forth
    0.92
     forward
    0.82
     ashore
    0.78
    bring
    0.76
     together
    0.74
     up
    0.69
    glers
    0.67
    ĸļ
    0.67
    uay
    0.66
    backs
    0.64
    Activations Density 0.033%

    No Known Activations