© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    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. 15602
    Prev
    Next
    INDEX
    Explanations

    landmarks or significant events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "landmark" and related terms

    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
     supplied
    -0.71
    Pack
    -0.67
     drained
    -0.66
     sheets
    -0.66
     laz
    -0.64
    sheets
    -0.63
    fed
    -0.63
    zzle
    -0.63
     coats
    -0.61
    bots
    -0.61
    POSITIVE LOGITS
     landmark
    3.78
     landmarks
    1.93
     milestone
    1.54
     groundbreaking
    1.52
     seminal
    1.50
     historic
    1.48
     watershed
    1.42
     cornerstone
    1.15
     breakthrough
    1.15
     pivotal
    1.14
    Activations Density 0.027%

    No Known Activations