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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 35536
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    Explanations

    descriptions of food items, particularly sandwiches and desserts

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

    thinly sliced or layered food preparation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    spesies
    -0.52
     případ
    -0.52
     intérêt
    -0.52
    kosť
    -0.51
     apuestas
    -0.50
     solidarité
    -0.50
    alisme
    -0.49
     interés
    -0.49
     asesoramiento
    -0.49
     considération
    -0.48
    POSITIVE LOGITS
     layers
    0.63
     Layers
    0.59
     sliced
    0.48
     grilled
    0.47
    Layers
    0.47
     crushed
    0.46
    layers
    0.46
     cubed
    0.46
     crispy
    0.44
     layered
    0.44
    Activations Density 0.028%

    No Known Activations