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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 544
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    Explanations

    topics related to nutrition and dietary practices

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    usepackage
    -0.51
    arrol
    -0.45
     AssemblyCulture
    -0.41
    SessionFactory
    -0.40
    SpringBootTest
    -0.39
    EFIAPI
    -0.38
    getDoctrine
    -0.38
     Lef
    -0.38
     BRI
    -0.37
    Arsenal
    -0.36
    POSITIVE LOGITS
    Burger
    0.84
     burger
    0.84
     Burger
    0.82
     hamburger
    0.67
    Jaw
    0.67
     Burgers
    0.66
     burgers
    0.66
    sandwich
    0.64
     Jaw
    0.62
     sandwich
    0.62
    Activations Density 0.194%

    No Known Activations