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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1438
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    references to products and product-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    6
    -0.41
    <table>
    -0.39
    Uwagi
    -0.38
     invierno
    -0.38
     cérebro
    -0.38
     zimní
    -0.38
     provisoire
    -0.37
    Berikut
    -0.36
    ]=="
    -0.36
     faltan
    -0.35
    POSITIVE LOGITS
     product
    1.17
     Product
    1.14
     getProduct
    1.09
    product
    1.08
    Product
    1.08
     Products
    1.02
     PRODUCT
    1.01
    getProduct
    1.01
     products
    0.97
     produkt
    0.96
    Activations Density 0.044%

    No Known Activations