© 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. 33-GEMMASCOPE-RES-16K
    11. 1152
    Prev
    Next
    INDEX
    Explanations

    references to cheese and its various forms or uses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beagle
    -0.45
     numerus
    -0.45
    quiao
    -0.43
     Peabody
    -0.43
     Senna
    -0.42
    Dien
    -0.42
    keyframes
    -0.41
     initView
    -0.41
    Referencoj
    -0.40
     cepillo
    -0.40
    POSITIVE LOGITS
     cheese
    1.41
     Cheese
    1.21
    cheese
    1.14
    🧀
    1.14
    Cheese
    1.13
     cheeses
    1.13
     Käse
    0.96
    チーズ
    0.88
     cheddar
    0.88
     mozzarella
    0.81
    Activations Density 0.090%

    No Known Activations