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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. 4132
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    Explanations

    references to food categorization and dietary diversity

    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
    Not in Any Lists

    No Comments

    Negative Logits
     ProtoMessage
    -0.45
     Coffee
    -0.45
    Coffee
    -0.45
    mappedBy
    -0.45
    coffee
    -0.45
    vician
    -0.44
     coffee
    -0.43
     kaffe
    -0.43
     COFFEE
    -0.43
     Kaffe
    -0.43
    POSITIVE LOGITS
     vegetables
    1.30
     vegetable
    1.16
     veggies
    1.15
     Vegetables
    1.08
    vegetables
    1.01
     cabbage
    1.00
    Vegetables
    0.99
     veg
    0.99
     Vegetable
    0.98
     veggie
    0.97
    Activations Density 0.251%

    No Known Activations