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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 7539
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    actions related to cleanliness and messiness

    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
    исленность
    -0.50
    تقاوى
    -0.48
    XmlRootElement
    -0.46
     initComponents
    -0.45
    ItemBackground
    -0.42
    OGND
    -0.41
     ddelweddau
    -0.39
     propOrder
    -0.39
    CloseOperation
    -0.39
     Мексичка
    -0.38
    POSITIVE LOGITS
     dirty
    2.38
    dirty
    2.02
     Dirty
    1.89
     soiled
    1.80
    Dirty
    1.80
     filthy
    1.73
     dirt
    1.70
     unclean
    1.55
     filth
    1.55
     muddy
    1.54
    Activations Density 0.430%

    No Known Activations