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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 8197
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    Explanations

    food items and their associated attributes or percentages in dietary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ordeel
    -0.45
     épaules
    -0.44
     hombros
    -0.44
     Méndez
    -0.42
     patrie
    -0.40
     pungkasnya
    -0.39
     rodillas
    -0.39
     Schreiber
    -0.38
     doigts
    -0.37
     Todes
    -0.37
    POSITIVE LOGITS
     grapes
    1.34
     tomatoes
    1.34
     potatoes
    1.34
     strawberries
    1.32
     apples
    1.31
     bananas
    1.23
     cucumbers
    1.23
     tomato
    1.23
     carrots
    1.22
     grape
    1.21
    Activations Density 0.800%

    No Known Activations