© 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-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 10346
    Prev
    Next
    INDEX
    Explanations

    references to players and their performances in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pinulongan
    -0.79
    sizeCache
    -0.72
     Paglinawan
    -0.70
     Meksiku
    -0.69
     ddelweddau
    -0.66
     وتسجيلات
    -0.65
    AddTagHelper
    -0.62
    OGND
    -0.62
    TagMode
    -0.62
    ValueStyle
    -0.61
    POSITIVE LOGITS
     accuracy
    1.02
     Accuracy
    0.96
     accurate
    0.92
     shot
    0.89
     aim
    0.89
     shoot
    0.88
     Accurate
    0.88
     target
    0.86
     shooting
    0.86
     Aim
    0.85
    Activations Density 0.301%

    No Known Activations