© 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. 2-GEMMASCOPE-RES-16K
    6. 12169
    Prev
    Next
    INDEX
    Explanations

    terms related to legal processes and timelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     muß
    -1.11
     daß
    -1.01
     läßt
    -0.97
     mußte
    -0.82
     müßte
    -0.77
     Moslem
    -0.77
     mußten
    -0.77
    faßt
    -0.74
     wußte
    -0.71
     Schluß
    -0.66
    POSITIVE LOGITS
     relatable
    1.24
     impactful
    1.23
     incentiv
    1.20
     underwhelming
    1.17
     entirety
    1.09
     showcasing
    1.09
     comedic
    1.09
     tasked
    1.08
     prioritize
    1.08
     timelines
    1.07
    Activations Density 5.867%

    No Known Activations