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

    Neuronpedia

    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. 36-GEMMASCOPE-RES-16K
    11. 14865
    Prev
    Next
    INDEX
    Explanations

    mentions of new vehicle models and features in an automotive context

    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
     Betrach
    -0.45
     torebka
    -0.45
     küpe
    -0.45
     Schichten
    -0.44
     złota
    -0.44
     Früchte
    -0.43
     kwiat
    -0.42
     Störungen
    -0.42
     criatura
    -0.42
     jeruk
    -0.42
    POSITIVE LOGITS
    awtextra
    0.68
     CreateTagHelper
    0.57
    참고
    0.56
    EndInit
    0.55
    styleType
    0.55
     Galaxy
    0.52
     Xperia
    0.51
     Model
    0.50
    Chall
    0.50
     older
    0.49
    Activations Density 0.617%

    No Known Activations