© 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. 38-GEMMASCOPE-RES-16K
    11. 14251
    Prev
    Next
    INDEX
    Explanations

    technical terminology related to statistical analysis and predictive modeling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Referencies
    -0.45
    ImageContext
    -0.40
     debout
    -0.40
    Gön
    -0.39
     encantan
    -0.38
    Wings
    -0.36
     olet
    -0.36
    wings
    -0.35
     montanha
    -0.34
     Zeugen
    -0.34
    POSITIVE LOGITS
     accuracy
    1.24
     Accuracy
    1.05
    Accuracy
    0.90
    accuracy
    0.89
     precision
    0.88
     recall
    0.84
     Precision
    0.82
     performance
    0.81
     ACCUR
    0.80
     acc
    0.75
    Activations Density 1.614%

    No Known Activations