© 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. 1302
    Prev
    Next
    INDEX
    Explanations

    phrases and expressions of gratitude or acknowledgment

    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
     싶
    -0.42
     Bestimmung
    -0.42
    เอง
    -0.41
     experienced
    -0.40
    onnaissance
    -0.40
     Belajar
    -0.40
    uchin
    -0.40
    experienced
    -0.40
     Assessing
    -0.39
     erfahren
    -0.39
    POSITIVE LOGITS
     having
    1.03
     being
    1.02
    having
    0.89
     HAVING
    0.80
    Having
    0.79
    being
    0.79
     haberse
    0.77
    avoir
    0.75
     avoir
    0.72
     Having
    0.72
    Activations Density 0.282%

    No Known Activations