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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 45
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    INDEX
    Explanations

    phrases that express recommendations or advice

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    "we recommend" or similar phrasing

    np_acts-logits-general · gemini-2.0-flash

    making recommendations or suggestions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     ostavi
    -0.68
    انيف
    -0.57
     }}"></
    -0.55
    unkel
    -0.53
    Personendaten
    -0.52
    ]='\
    -0.51
     mergeFrom
    -0.51
    thâu
    -0.51
    setVerticalGroup
    -0.51
    ThroughAttribute
    -0.50
    POSITIVE LOGITS
     recommendation
    3.24
     recommend
    3.16
     recommended
    3.11
     recommendations
    3.08
     recommends
    2.98
     recommending
    2.97
     advice
    2.70
     Recommendation
    2.65
     advise
    2.64
     Recommend
    2.63
    Activations Density 0.632%

    No Known Activations