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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12134
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    Explanations

    references to saving or cost-saving measures

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

    "Save" followed by a noun

    np_acts-logits-general · gemini-2.0-flash

    saving money and time

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     adversely
    -0.38
    jadinya
    -0.32
     Phaser
    -0.32
    glBindTexture
    -0.31
     positively
    -0.31
     mAdapter
    -0.31
    riwal
    -0.31
    StringCopy
    -0.31
     kyse
    -0.31
    romyalgia
    -0.31
    POSITIVE LOGITS
     Save
    1.38
     save
    1.34
    Save
    1.30
    Saving
    1.28
     Saving
    1.27
     SAVE
    1.25
     saving
    1.24
    save
    1.23
     saves
    1.21
     saved
    1.20
    Activations Density 0.081%

    No Known Activations