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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 2661
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    Explanations

    terms related to culinary items and their preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/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.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     chur
    -0.54
     kimchi
    -0.50
     jerky
    -0.47
     hummus
    -0.47
     hydration
    -0.45
     haban
    -0.43
     electrolytes
    -0.43
    street
    -0.43
     street
    -0.43
    cartel
    -0.42
    POSITIVE LOGITS
     unknownFields
    0.53
     ModelRenderer
    0.50
    setVerticalGroup
    0.48
    AndroidJUnit
    0.47
     onCreateView
    0.47
     suprême
    0.47
     propOrder
    0.44
    ClientSize
    0.44
    ContentAlignment
    0.43
     kuş
    0.43
    Activations Density 0.388%

    No Known Activations