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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 32575
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    INDEX
    Explanations

    different types of food and their preparations

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

    grains, legumes, and pasta dishes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.70
     contextLoads
    -0.57
    viewDidLoad
    -0.57
     EconPapers
    -0.51
     $_(
    -0.51
    +#+
    -0.49
     noDo
    -0.49
     zoude
    -0.47
     rhestr
    -0.45
    outchouc
    -0.45
    POSITIVE LOGITS
     quinoa
    0.41
     boil
    0.41
    boil
    0.40
    stateProvider
    0.40
     Eink
    0.39
    scale
    0.38
     والب
    0.37
     Hid
    0.37
     lentil
    0.37
     Quinoa
    0.35
    Activations Density 0.008%

    No Known Activations