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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2412
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    Explanations

    specific types of Asian food and cuisine references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Thai food and Southeast Asia

    np_acts-logits-general · gemini-2.0-flash

    Thai and Southeast Asia

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mogelijk
    -0.41
     buurt
    -0.39
    ilustração
    -0.39
    Grüsse
    -0.38
    colgante
    -0.37
    desenho
    -0.37
    ipc
    -0.37
     XCTest
    -0.37
    Westfalen
    -0.36
     occhiali
    -0.36
    POSITIVE LOGITS
     Thai
    0.68
     Laos
    0.61
    Thai
    0.61
     Mekong
    0.60
     Thailand
    0.60
     CanadaChoose
    0.59
    Thailand
    0.57
    Laos
    0.54
    Myanmar
    0.54
    Bangkok
    0.54
    Activations Density 0.212%

    No Known Activations