© 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. 0-RES-JB
    11. 13171
    Prev
    Next
    INDEX
    Explanations

    phrases related to ups and downs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of positive experiences or successes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rian
    -0.80
    former
    -0.78
    rade
    -0.72
    cel
    -0.71
    Islamic
    -0.69
    geon
    -0.67
     Initiative
    -0.64
    ICE
    -0.62
    hol
    -0.62
    elle
    -0.62
    POSITIVE LOGITS
     ups
    4.02
     Ups
    1.86
     highs
    1.56
     bumps
    1.56
     downs
    1.55
    ups
    1.52
     twists
    1.33
     surprises
    1.27
     shocks
    1.27
     disappoint
    1.23
    Activations Density 0.020%

    No Known Activations