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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 4558
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    references to food items and menus

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     betweenstory
    -0.63
     mármol
    -0.57
     fieltro
    -0.55
     plomo
    -0.54
    Bronnen
    -0.54
     cucchiai
    -0.52
     hábiles
    -0.52
     cromado
    -0.52
     ceinture
    -0.52
     desmotivaciones
    -0.52
    POSITIVE LOGITS
     pizza
    1.36
     burgers
    1.25
     pizzas
    1.20
     hamburgers
    1.18
     pasta
    1.16
     burger
    1.13
     tacos
    1.13
     spaghetti
    1.13
     pancakes
    1.13
     lasagna
    1.09
    Activations Density 0.384%

    No Known Activations