© 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. 40-GEMMASCOPE-RES-16K
    11. 5691
    Prev
    Next
    INDEX
    Explanations

    terms related to heavy metal accumulation in plants and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    StoryboardSegue
    -0.50
    GTCX
    -0.46
    setVerticalGroup
    -0.45
     فريبيس
    -0.45
    TestingModule
    -0.45
    ScopeManager
    -0.45
    awtextra
    -0.42
    RTEX
    -0.42
     GetEnumerator
    -0.41
    styleType
    -0.40
    POSITIVE LOGITS
     heavy
    1.00
     Heavy
    0.90
    Heavy
    0.86
    heavy
    0.85
     contamination
    0.83
     trace
    0.83
     HEAVY
    0.80
     metal
    0.79
     metals
    0.75
     contaminated
    0.73
    Activations Density 1.074%

    No Known Activations