© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Jacobian LensNEW
    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsinterp-engineNEWAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9811
    Prev
    Next
    INDEX
    Explanations

    information about notable buildings and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Templates
    -0.29
    レージ
    -0.28
     lö
    -0.27
    ूप
    -0.27
     Gosling
    -0.27
    enderror
    -0.27
    stringValue
    -0.27
    افية
    -0.26
    Coach
    -0.25
    Tables
    -0.25
    POSITIVE LOGITS
     tower
    2.34
     towers
    2.23
    tower
    1.99
     Tower
    1.98
    Tower
    1.91
     TOWER
    1.83
    towers
    1.77
     Towers
    1.76
     tallest
    1.65
     skyscraper
    1.45
    Activations Density 0.242%

    No Known Activations