© 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
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 33-GEMMASCOPE-RES-16K
    6. 10829
    Prev
    Next
    INDEX
    Explanations

    military terms and designations, particularly those referring to units and commands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fromnode
    -0.41
     ang
    -0.38
     soldiers
    -0.37
    MessageOf
    -0.37
     slu
    -0.36
     tp
    -0.36
     comp
    -0.36
     Ä
    -0.34
     TP
    -0.34
     sl
    -0.34
    POSITIVE LOGITS
     Marine
    0.99
    Marine
    0.93
     marine
    0.86
     MARINE
    0.84
     Marines
    0.82
     marines
    0.82
    marine
    0.80
     marinho
    0.74
    marines
    0.70
     marins
    0.70
    Activations Density 0.199%

    No Known Activations