© 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. 12-GEMMASCOPE-RES-16K
    11. 8564
    Prev
    Next
    INDEX
    Explanations

    references to cheese and its various types and preparations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betrekking
    -0.40
    SuppressLint
    -0.40
     betekenis
    -0.37
     muerto
    -0.36
     gevol
    -0.35
     belangrij
    -0.35
    ToRefresh
    -0.35
     føl
    -0.35
     frasi
    -0.35
     inhoud
    -0.34
    POSITIVE LOGITS
     Cheese
    1.12
     cheese
    1.09
    Cheese
    1.06
     cheeses
    0.98
    cheese
    0.96
     cheddar
    0.88
    🧀
    0.84
     mozzarella
    0.83
    BufferException
    0.81
     fromage
    0.74
    Activations Density 0.349%

    No Known Activations