© 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. 12-RES-JB
    11. 3932
    Prev
    Next
    INDEX
    Explanations

    sports-related events and player transactions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    conditional phrases that indicate dependency on certain outcomes or scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    schild
    -0.83
    ictionary
    -0.74
    enhagen
    -0.70
    COLOR
    -0.67
     ILCS
    -0.66
    zsche
    -0.66
    ossip
    -0.66
     Annotations
    -0.65
     OWN
    -0.61
     commentary
    -0.60
    POSITIVE LOGITS
     fails
    1.00
     proves
    0.94
     succeeds
    0.89
     unsuccessful
    0.83
     persists
    0.82
     fail
    0.82
     prev
    0.80
     stays
    0.79
     succeed
    0.78
     satisfactory
    0.78
    Activations Density 0.308%

    No Known Activations