© 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
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 11842
    Prev
    Next
    INDEX
    Explanations

    numerical values related to weight percentages in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.62
    帖最后由
    -0.57
    UserScript
    -0.43
    hyrchwyd
    -0.41
    ंदीखरीदारी
    -0.38
     становника
    -0.36
    Gambas
    -0.35
    IBAction
    -0.35
     mantequilla
    -0.35
    ᅠ
    -0.34
    POSITIVE LOGITS
     %
    2.59
     percent
    2.59
     percentage
    2.58
    %
    2.42
     Percent
    2.27
     percentages
    2.27
     Percentage
    2.25
     \%
    2.23
    percent
    2.23
     $\%$
    2.20
    Activations Density 2.244%

    No Known Activations