© 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. 36-GEMMASCOPE-RES-16K
    11. 10633
    Prev
    Next
    INDEX
    Explanations

    specific vehicle brands and their attributes

    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
     Ed
    -0.36
    Ed
    -0.32
     agujas
    -0.31
    Decimal
    -0.30
     ed
    -0.29
    getElementById
    -0.29
     teacher
    -0.29
    py
    -0.28
    shadow
    -0.28
    skri
    -0.27
    POSITIVE LOGITS
     offroad
    1.09
     Jeep
    0.97
     jeep
    0.94
    Jeep
    0.93
     SUV
    0.91
    SUV
    0.88
     SUVs
    0.87
    jeep
    0.87
     mud
    0.80
    Mud
    0.79
    Activations Density 0.170%

    No Known Activations