© 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. 2-RES-JB
    11. 21830
    Prev
    Next
    INDEX
    Explanations

    phrases indicating a challenging or difficult situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tough" and its contextual use

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Fac
    -0.75
    uality
    -0.74
    oscope
    -0.74
    ATURE
    -0.73
    utions
    -0.73
    iliary
    -0.73
    oples
    -0.72
    Footnote
    -0.72
    querade
    -0.70
    ience
    -0.70
    POSITIVE LOGITS
     tough
    0.89
     hitters
    0.83
     enough
    0.81
     obstacles
    0.78
     hitter
    0.75
     adolesc
    0.74
     cookie
    0.73
    boss
    0.72
     tougher
    0.72
     hurdles
    0.71
    Activations Density 0.011%

    No Known Activations