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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. 116606
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    Explanations

    specific types of dishes and ingredients, particularly those related to Mediterranean and Asian cuisines

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

    tomato and solanaceous

    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
     EconPapers
    -0.54
    parsedMessage
    -0.50
     wikipagina
    -0.50
    $_['
    -0.47
    unknownFields
    -0.46
    +#+
    -0.45
     noDo
    -0.44
    OGND
    -0.43
    ModelSerializer
    -0.42
     acciaio
    -0.42
    POSITIVE LOGITS
     auber
    0.47
     eggplant
    0.46
    🍆
    0.45
     OFDb
    0.44
     Tomato
    0.42
     tomato
    0.42
    Tomato
    0.41
     tomates
    0.38
    atouille
    0.38
     tomate
    0.37
    Activations Density 0.040%

    No Known Activations