© 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. 9-RES-JB
    11. 17576
    Prev
    Next
    INDEX
    Explanations

    words related to environmental issues, particularly focusing on greenhouse gases and emissions

    oai_token-act-pair · gpt-3.5-turbo

    references to greenhouse gases and their impact on climate change

    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
     Naj
    -0.88
    uyomi
    -0.67
     Mirror
    -0.67
    Fram
    -0.66
    matically
    -0.65
     Swim
    -0.65
     Cannes
    -0.64
     medial
    -0.63
    ioned
    -0.63
     Bene
    -0.62
    POSITIVE LOGITS
     gases
    1.46
     gas
    1.32
    gas
    1.12
     greenhouse
    1.06
     emissions
    1.06
    Gas
    1.06
     dioxide
    0.96
     warming
    0.95
    ogens
    0.92
    warming
    0.92
    Activations Density 0.026%

    No Known Activations