© 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-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 4951
    Prev
    Next
    INDEX
    Explanations

    key attributes and phrases related to quality and value in food and dining experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Mejía
    -0.35
     Hernández
    -0.30
     rechange
    -0.29
     parvenir
    -0.29
     Jiménez
    -0.28
     Rodríguez
    -0.27
     Sánchez
    -0.27
     García
    -0.27
     Álvarez
    -0.26
     resaltar
    -0.26
    POSITIVE LOGITS
     Toronto
    1.11
     Vancouver
    1.06
     Connecticut
    1.05
     Mumbai
    1.05
     Miami
    1.02
     Edmonton
    1.02
     Melbourne
    1.01
     Winnipeg
    1.01
     North
    1.01
     Philadelphia
    1.00
    Activations Density 1.617%

    No Known Activations