© 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. 10613
    Prev
    Next
    INDEX
    Explanations

    technical specifications and performance qualities of vehicles

    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
    ContentLoaded
    -0.58
    ConverterFactory
    -0.53
     BoxFit
    -0.48
    っこう
    -0.46
    posedge
    -0.44
    sidemargin
    -0.44
    StructEnd
    -0.44
    ніципа
    -0.42
     defStyle
    -0.41
     Difficulties
    -0.40
    POSITIVE LOGITS
     underpin
    0.54
     buyers
    0.52
     automaker
    0.52
     BMW
    0.48
     chassis
    0.47
     occupants
    0.47
     Hyundai
    0.47
     Audi
    0.46
     SUV
    0.46
     endow
    0.45
    Activations Density 0.454%

    No Known Activations