© 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. 6-RES-JB
    11. 9481
    Prev
    Next
    INDEX
    Explanations

    words related to introducing or discussing various topics or concepts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "introducing" and related variations frequently in the context of introducing topics or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sleeper
    -0.70
     Frankfurt
    -0.68
     Mara
    -0.67
     Immunity
    -0.67
     Beir
    -0.63
     Bulgarian
    -0.62
    illary
    -0.62
    avorite
    -0.61
     Carth
    -0.61
     Siberian
    -0.61
    POSITIVE LOGITS
    ctory
    1.56
    ctions
    1.35
    cing
    1.24
    pta
    1.11
    cible
    1.06
    cer
    1.06
    ce
    1.05
    ction
    1.00
    ations
    1.00
    cci
    0.98
    Activations Density 0.032%

    No Known Activations