© 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. 14-GEMMASCOPE-RES-16K
    11. 5799
    Prev
    Next
    INDEX
    Explanations

    references to automobiles and driving

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rhestr
    -0.50
    TypedDataSet
    -0.47
     noastră
    -0.46
    ernoo
    -0.42
    anstal
    -0.42
    iegel
    -0.41
     discul
    -0.41
     חיצוניים
    -0.40
     canais
    -0.40
     tributaries
    -0.39
    POSITIVE LOGITS
     cars
    0.90
     car
    0.85
     voiture
    0.84
     automobile
    0.84
     automobiles
    0.80
    🚘
    0.79
    🚗
    0.78
     Automobile
    0.77
     Cars
    0.74
    automobile
    0.74
    Activations Density 0.116%

    No Known Activations