© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it
    Neuronpedia
    Jacobian LensNEW
    Natural Language
    Autoencoders
    MAY 26    Assistant AxisJAN 26Circuit TracerAPR 26SteerSAE EvalsExportsinterp-engineNEW Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 9366
    Prev
    Next
    INDEX
    Explanations

    terms related to sewage and waste treatment processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     aDecoder
    -0.63
     betrug
    -0.62
    errer
    -0.55
    Skye
    -0.54
     kalla
    -0.52
     incomplète
    -0.52
     مرئيه
    -0.52
     Linus
    -0.51
    deselect
    -0.51
     internazionale
    -0.51
    POSITIVE LOGITS
     wastewater
    0.69
     Sewage
    0.64
     Wastewater
    0.63
     disposal
    0.63
     SqlParameter
    0.60
    waste
    0.59
     waste
    0.59
     sewage
    0.57
    WASTE
    0.54
     sludge
    0.52
    Activations Density 0.317%

    No Known Activations