© 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. 2264
    Prev
    Next
    INDEX
    Explanations

    terms related to decision-making, planning, and analysis

    oai_token-act-pair · gpt-3.5-turbo
    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
     challeng
    -0.63
     Seym
    -0.61
     Bie
    -0.60
     Tanz
    -0.59
     Moroc
    -0.57
     Noon
    -0.56
     Tid
    -0.55
    ouk
    -0.54
     Peb
    -0.54
    enegger
    -0.54
    POSITIVE LOGITS
    lessly
    0.79
     =
    0.70
    ¶
    0.68
     ]
    0.63
     fallacy
    0.62
     ):
    0.62
     :=
    0.62
     (%)
    0.61
     +=
    0.61
    _
    0.59
    Activations Density 0.323%

    No Known Activations