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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 2322
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    INDEX
    Explanations

    phrases related to wastefulness and inefficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    wasting and loss

    np_acts-logits-general · gemini-2.0-flash

    wasting money or energy

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laires
    -0.38
    peq
    -0.38
    ClientSize
    -0.37
    ContentLoaded
    -0.36
     Manns
    -0.35
     plex
    -0.35
     تكبرها
    -0.34
     PAC
    -0.34
     Mov
    -0.34
     plexus
    -0.34
    POSITIVE LOGITS
     wasted
    1.74
     waste
    1.59
     wastage
    1.47
     wasting
    1.45
     wasteful
    1.44
    waste
    1.35
     wastes
    1.30
     Waste
    1.29
    浪费
    1.28
    Waste
    1.26
    Activations Density 0.389%

    No Known Activations