© 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. 35-GEMMASCOPE-RES-16K
    11. 14958
    Prev
    Next
    INDEX
    Explanations

    key terms related to formal documentation and categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     birçok
    -0.82
     wielu
    -0.79
     многих
    -0.79
     muchos
    -0.77
     många
    -0.76
     vieler
    -0.76
     many
    -0.74
     milliers
    -0.73
     muitos
    -0.71
     nombreux
    -0.71
    POSITIVE LOGITS
    分别是
    1.23
    分別
    1.21
     respectively
    1.15
     namely
    1.11
    分别
    1.08
     apiece
    1.01
    それぞれ
    0.94
     consecutively
    0.93
     successively
    0.91
     each
    0.90
    Activations Density 1.065%

    No Known Activations