© 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. 1-RES-JB
    11. 2374
    Prev
    Next
    INDEX
    Explanations

    words related to environmental phenomena, specifically dust

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dust and related phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rylic
    -0.74
    going
    -0.70
    amia
    -0.70
    erest
    -0.69
     Barbar
    -0.65
    istic
    -0.64
    ulton
    -0.64
    izations
    -0.64
    GBT
    -0.61
    ilitary
    -0.61
    POSITIVE LOGITS
     dust
    1.19
    bowl
    1.10
    Dust
    1.03
    dust
    0.94
     devils
    0.86
     clouds
    0.86
     Dust
    0.85
    wagon
    0.84
    storms
    0.84
    bags
    0.84
    Activations Density 0.006%

    No Known Activations