© 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. 14316
    Prev
    Next
    INDEX
    Explanations

    references to BMW vehicles and related models

    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
     autorytatywna
    -0.53
    elemField
    -0.52
    Gdx
    -0.48
    LookAnd
    -0.46
    WebElementEntity
    -0.44
     &___
    -0.43
     Ê
    -0.41
    EDEFAULT
    -0.40
    shiro
    -0.40
     ldc
    -0.39
    POSITIVE LOGITS
     BMW
    1.07
    BMW
    0.96
     Bavarian
    0.93
     Bavaria
    0.85
     bmw
    0.85
    bmw
    0.82
     Munich
    0.79
    宝马
    0.73
     bav
    0.73
     Bav
    0.73
    Activations Density 0.189%

    No Known Activations