© 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. 1-GEMMASCOPE-RES-16K
    11. 5744
    Prev
    Next
    INDEX
    Explanations

    terms related to burning and combustion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WillAppear
    -0.62
    parsedMessage
    -0.58
     giudi
    -0.54
    AndEndTag
    -0.54
    Rhestr
    -0.53
     mijne
    -0.53
     vectorielle
    -0.52
     Bewußt
    -0.51
    disposing
    -0.50
    verifyException
    -0.47
    POSITIVE LOGITS
     burning
    0.84
    Burning
    0.83
     Burning
    0.83
     burn
    0.80
    burning
    0.75
     burns
    0.73
     burned
    0.69
     Burn
    0.65
    Burn
    0.61
     BURN
    0.60
    Activations Density 0.324%

    No Known Activations