© 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. 4-RES-JB
    11. 1034
    Prev
    Next
    INDEX
    Explanations

    adjectives describing the intensity or severity of a situation

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with severity or intensity

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

    No Comments

    Negative Logits
    yard
    -0.87
    ËĪ
    -0.86
    shaw
    -0.84
    fman
    -0.84
    sburgh
    -0.83
    athan
    -0.80
    bats
    -0.79
    stown
    -0.76
    nance
    -0.75
    omo
    -0.75
    POSITIVE LOGITS
     extremes
    0.88
     lengths
    0.87
     extreme
    0.85
     temperatures
    0.82
     amounts
    0.81
     vetting
    0.80
     deviations
    0.77
     measures
    0.77
    Extreme
    0.74
     rendition
    0.74
    Activations Density 0.014%

    No Known Activations