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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 10450
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    Explanations

    references to speed and efficiency in processes or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    exitRule
    -0.46
    outState
    -0.44
    gdala
    -0.44
    DataMember
    -0.44
     dataSet
    -0.43
     doubt
    -0.42
     Laub
    -0.40
     bracket
    -0.40
    ideae
    -0.40
     Cot
    -0.40
    POSITIVE LOGITS
    Speed
    0.94
    Fast
    0.91
     Fast
    0.91
     speed
    0.89
     Speed
    0.89
     SPEED
    0.88
     FAST
    0.88
     fastest
    0.88
     rapide
    0.88
     fast
    0.86
    Activations Density 0.230%

    No Known Activations