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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. 61171
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    Explanations

    references to decorative items, particularly chandeliers and lighting elements in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    chandeliers and disco lights

    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
    Negative Logits
     shops
    -0.49
     tiendas
    -0.46
     SHOP
    -0.44
     lojas
    -0.43
     Shops
    -0.43
    Shops
    -0.41
     shop
    -0.41
    shops
    -0.40
     magasins
    -0.40
     stores
    -0.38
    POSITIVE LOGITS
     chandeliers
    1.20
     chandelier
    1.05
     lighting
    0.91
    Lighting
    0.74
     Lighting
    0.74
     lamps
    0.73
    lighting
    0.69
     chairs
    0.68
     Beleuchtung
    0.68
     candela
    0.66
    Activations Density 0.016%

    No Known Activations