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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 4095
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    Explanations

    references to meals and culinary expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AnchorTagHelper
    -0.56
    RenderAtEndOf
    -0.51
    IVEREF
    -0.51
     utafitiHapana
    -0.49
    AutoField
    -0.47
    íncia
    -0.47
    蚪
    -0.47
    ⓧ
    -0.46
    Uninitialized
    -0.43
     herbs
    -0.43
    POSITIVE LOGITS
     meal
    0.64
     sport
    0.62
    ioutil
    0.52
     ocean
    0.50
    Meal
    0.49
    meal
    0.48
     Meal
    0.47
     Chef
    0.46
     OCEAN
    0.45
     cargo
    0.45
    Activations Density 0.033%

    No Known Activations