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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 78455
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    INDEX
    Explanations

    terms related to levels and leveling in various contexts

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

    level, levelling, flat

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    toCharArray
    -0.36
    localctx
    -0.32
    fortawesome
    -0.31
    albero
    -0.29
    Хьажоргаш
    -0.29
    ribusi
    -0.29
    addAttribute
    -0.28
    CardContent
    -0.28
     búsquedas
    -0.28
    多
    -0.28
    POSITIVE LOGITS
     leveling
    0.96
     levelling
    0.94
     leveled
    0.93
     levelled
    0.90
     flat
    0.83
    Flat
    0.83
    flat
    0.79
     flatten
    0.77
     Flat
    0.77
    FLAT
    0.76
    Activations Density 0.033%

    No Known Activations