© 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. 3-RES-JB
    11. 3851
    Prev
    Next
    INDEX
    Explanations

    terms related to providing a foundational or fundamental argument

    oai_token-act-pair · gpt-3.5-turbo

    references to foundational concepts or principles

    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
    opers
    -0.78
    oho
    -0.73
    andro
    -0.71
    istors
    -0.70
    istor
    -0.68
    osen
    -0.67
    ppy
    -0.66
    pper
    -0.66
    atri
    -0.66
    oping
    -0.66
    POSITIVE LOGITS
     basis
    1.06
     underpin
    0.90
     footing
    0.89
     foundation
    0.78
     grounds
    0.77
     grounding
    0.75
    SourceFile
    0.74
     premise
    0.72
    rient
    0.70
     justifies
    0.67
    Activations Density 0.023%

    No Known Activations