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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 1871
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    Explanations

    references to efficiency 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 @ 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
    DispatchToProps
    -0.66
     Majefty
    -0.54
     bookId
    -0.53
     contextLoads
    -0.52
    MLLoader
    -0.51
    centralwidget
    -0.50
    WriteBarrier
    -0.49
    seamnă
    -0.49
    rlrl
    -0.49
    findpost
    -0.48
    POSITIVE LOGITS
     efficiency
    0.79
     Efficiency
    0.70
     EFFICIENCY
    0.66
    Efficiency
    0.63
     efficiencies
    0.60
    efficiency
    0.60
    effic
    0.60
     efficient
    0.59
     Efficient
    0.56
     briefly
    0.54
    Activations Density 0.093%

    No Known Activations