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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12893
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    Explanations

    references to company names and their relationships in business contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+#
    -0.59
     venganza
    -0.56
    Хьажоргаш
    -0.54
    sizeCache
    -0.53
     navideño
    -0.52
     deudas
    -0.52
     actualizaciones
    -0.51
     trasero
    -0.51
     contemporaine
    -0.51
     amistad
    -0.51
    POSITIVE LOGITS
     Coca
    1.34
     Microsoft
    1.21
     IBM
    1.20
     Pepsi
    1.18
     Nestlé
    1.16
     Pfizer
    1.15
     Unilever
    1.15
     Exxon
    1.14
     Verizon
    1.14
     Boeing
    1.14
    Activations Density 1.028%

    No Known Activations