© 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 EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1797
    Prev
    Next
    INDEX
    Explanations

    technical terms related to brake systems and maintenance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shel
    -0.35
     Shel
    -0.35
    <?
    -0.34
     Hull
    -0.33
    chair
    -0.33
     neck
    -0.32
    Chim
    -0.32
     Busse
    -0.32
    classi
    -0.32
    VIS
    -0.32
    POSITIVE LOGITS
     brake
    1.29
     Brake
    1.13
     brakes
    1.11
    brake
    1.09
     braking
    1.05
    Brake
    1.05
     Brakes
    0.94
    ブレーキ
    0.90
     calipers
    0.88
     disc
    0.84
    Activations Density 0.167%

    No Known Activations