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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12157
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    Explanations

    references to inefficiency or wastefulness 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 @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedCtor
    -0.53
     mergeFrom
    -0.42
    Viitteet
    -0.42
    richTextPanel
    -0.41
     دیکھیے
    -0.40
     Vir
    -0.39
    usercontent
    -0.39
    detectChanges
    -0.39
     Absence
    -0.38
    difficulty
    -0.37
    POSITIVE LOGITS
     waste
    2.58
     wasted
    2.50
     wasting
    2.33
    waste
    2.20
     Waste
    2.16
     wastes
    2.14
    Waste
    2.11
     WASTE
    2.06
     wasteful
    2.03
     wastage
    1.90
    Activations Density 0.768%

    No Known Activations