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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6100
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    INDEX
    Explanations

    cooking-related processes and techniques

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

    Cooking, baking, and frying

    np_acts-logits-general · gemini-2.0-flash

    cooking with heat and time

    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
    Ārējās
    -0.45
     synthetic
    -0.41
     Synthetic
    -0.41
     filtered
    -0.40
     recy
    -0.40
     mas
    -0.39
     bound
    -0.39
    🇶
    -0.39
    Synthetic
    -0.38
     Recycling
    -0.38
    POSITIVE LOGITS
     cottura
    0.48
    :✨
    0.45
    ModelAdmin
    0.44
    RegressionTest
    0.44
    SPATH
    0.42
    Autoritní
    0.42
     hurry
    0.42
    reactstrap
    0.40
     cooking
    0.39
     patria
    0.39
    Activations Density 0.284%

    No Known Activations