© 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. 4810
    Prev
    Next
    INDEX
    Explanations

    terms related to sulfur compounds and their environmental significance

    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
    harusnya
    -0.41
     estekak
    -0.40
    mogorov
    -0.40
     nakalista
    -0.39
     гли
    -0.38
    EndGlobal
    -0.38
     steers
    -0.37
    heça
    -0.36
     aluminio
    -0.36
     nobre
    -0.36
    POSITIVE LOGITS
     sulfur
    0.96
     Sulfur
    0.90
     sulfide
    0.90
    sulf
    0.89
     Sulf
    0.87
     sulf
    0.85
     Sulphur
    0.84
     disulfide
    0.83
     sulphur
    0.83
     SUL
    0.82
    Activations Density 0.677%

    No Known Activations