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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12166
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    Explanations

    keywords related to restaurants and dining experiences

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

    "restaurant" or restaurant staff

    np_acts-logits-general · gemini-2.0-flash

    restaurant and waitress

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyTitle
    -0.52
    skew
    -0.51
     Pál
    -0.50
    éricos
    -0.48
     objective
    -0.48
     skew
    -0.46
    Teil
    -0.45
     Himo
    -0.44
    Autowired
    -0.43
     Griffiths
    -0.43
    POSITIVE LOGITS
     Restaurant
    1.85
     restaurant
    1.83
    Restaurant
    1.75
    restaurant
    1.65
     restaurants
    1.59
     RESTAURANT
    1.58
     Restaurants
    1.58
    RESTAUR
    1.45
    Restaurants
    1.43
    restaurants
    1.38
    Activations Density 0.049%

    No Known Activations