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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14664
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    Explanations

    references to energy consumption and 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 @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mobileqq
    -0.46
     bezeichneter
    -0.44
    localObject
    -0.44
    GEBURTSDATUM
    -0.43
    ViewImports
    -0.42
    copg
    -0.41
    uxxxx
    -0.40
     NR
    -0.40
    TypedDataSet
    -0.39
     peix
    -0.37
    POSITIVE LOGITS
     lots
    1.38
     plenty
    1.30
     LOTS
    1.23
     enough
    1.20
     alot
    1.09
    lots
    1.06
    Lots
    1.05
     tons
    1.04
    plenty
    1.03
    大量
    1.02
    Activations Density 0.778%

    No Known Activations