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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 5411
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    Explanations

    references to meals, specifically dinner

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VolleyError
    -0.59
     PagesJaunes
    -0.52
    VYMaps
    -0.52
    pecabe
    -0.52
     Brésil
    -0.51
    źródło
    -0.51
     loob
    -0.51
     quæ
    -0.50
     вікісторінку
    -0.50
    utuhkan
    -0.50
    POSITIVE LOGITS
     dinner
    1.44
    dinner
    1.34
     Dinner
    1.24
    Dinner
    1.23
     DINNER
    1.14
     dinners
    1.12
     breakfast
    0.91
     dîner
    0.85
     meal
    0.80
    breakfast
    0.80
    Activations Density 0.105%

    No Known Activations