© 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. 3-GEMMASCOPE-RES-16K
    11. 4244
    Prev
    Next
    INDEX
    Explanations

    terms related to the concept of strengthening or improving connections and structures

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     simple
    -0.65
     high
    -0.65
     big
    -0.62
     ordinary
    -0.60
     wide
    -0.59
    含
    -0.56
     self
    -0.55
     stří
    -0.53
    itanya
    -0.53
     Tsche
    -0.53
    POSITIVE LOGITS
     deepening
    1.41
     shortening
    1.37
     weakening
    1.36
     deepened
    1.33
    strengthen
    1.33
    Strengthen
    1.31
     softening
    1.29
     deepen
    1.29
     tightening
    1.29
     Strengthen
    1.29
    Activations Density 0.136%

    No Known Activations