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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 6224
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    specific names and terms related to dining and culinary experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    UseVisualStyle
    -0.50
    UTELY
    -0.48
    CreateModel
    -0.45
     AspNetCore
    -0.44
    AutoModerator
    -0.44
     насељу
    -0.43
    лосипе
    -0.42
    tanleria
    -0.41
    Germania
    -0.41
     continúas
    -0.40
    POSITIVE LOGITS
    Hentet
    0.53
    ьаж
    0.51
    الدراسه
    0.50
    PRNewswire
    0.49
    原始内容存档于
    0.49
    جوايز
    0.48
     autorytatywna
    0.47
     للاسماء
    0.46
     Corporate
    0.45
    دانشنامهٔ
    0.44
    Activations Density 4.247%

    No Known Activations