© 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. 4-RES-JB
    11. 18550
    Prev
    Next
    INDEX
    Explanations

    verbs related to understanding and explaining

    oai_token-act-pair · gpt-3.5-turbo

    terms related to interpretation and analysis of laws or concepts

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

    No Comments

    Negative Logits
    ventus
    -0.72
    uster
    -0.72
     Rath
    -0.71
     Empires
    -0.69
    trap
    -0.68
    Rail
    -0.67
    raid
    -0.66
     Indust
    -0.66
    etsk
    -0.65
    emetery
    -0.63
    POSITIVE LOGITS
     interpret
    1.22
     interpretations
    1.14
     Interpret
    1.12
     interpretation
    1.11
     interpreting
    1.07
     interpre
    1.00
     meanings
    1.00
     interpreted
    0.90
     misinterpret
    0.86
    eering
    0.80
    Activations Density 0.020%

    No Known Activations