© 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. 34-GEMMASCOPE-RES-16K
    11. 16257
    Prev
    Next
    INDEX
    Explanations

    terms and concepts related to server management and performance optimization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vertre
    -0.44
    abestanden
    -0.35
    Poss
    -0.30
     Cre
    -0.28
     district
    -0.28
    pos
    -0.28
     Кре
    -0.27
    Valid
    -0.27
    ंदीखरीदारी
    -0.27
     Poss
    -0.27
    POSITIVE LOGITS
     latency
    1.13
     performance
    1.10
     bottlenecks
    1.07
     bottleneck
    1.06
     throughput
    1.05
     Latency
    0.98
     Performance
    0.97
    Performance
    0.96
    performance
    0.96
     slowdown
    0.93
    Activations Density 0.976%

    No Known Activations