© 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 EvalsExportsAPI 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. 2157
    Prev
    Next
    INDEX
    Explanations

    words and phrases related to burning and melting

    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
    awtextra
    -0.63
    Personendaten
    -0.61
    fjspx
    -0.59
    +#+#
    -0.57
    Vidite
    -0.57
    writeFieldEnd
    -0.56
     privateKey
    -0.54
    ScopeManager
    -0.54
    ValueStyle
    -0.53
     ſeine
    -0.52
    POSITIVE LOGITS
     completely
    0.57
     Completely
    0.53
    completely
    0.52
    Completely
    0.49
     complètement
    0.47
     utterly
    0.44
     faster
    0.41
     completamente
    0.40
     into
    0.38
     rapidly
    0.38
    Activations Density 0.426%

    No Known Activations