© 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. 9-RES-JB
    11. 23607
    Prev
    Next
    INDEX
    Explanations

    phrases indicating uncertainty or potential challenges

    oai_token-act-pair · gpt-3.5-turbo

    topics related to challenges and complexities in various systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    soever
    -0.80
     Loving
    -0.76
    orest
    -0.73
    ankind
    -0.72
    orld
    -0.72
     +=
    -0.71
    »Ĵ
    -0.67
    ":"/
    -0.65
    toc
    -0.65
    thinkable
    -0.65
    POSITIVE LOGITS
     error
    1.22
     errors
    1.16
     glitches
    1.15
     difficulties
    1.15
     disappoint
    1.08
     misunder
    1.07
     glitch
    1.04
     mistakes
    1.03
     misunderstand
    1.02
     flaws
    1.02
    Activations Density 1.039%

    No Known Activations