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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8152
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    professional titles and roles within corporate contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bandeira
    -0.35
     senhora
    -0.34
     Wirksamkeit
    -0.33
     inmigrantes
    -0.33
    ampilan
    -0.33
     parceria
    -0.32
     toepassing
    -0.32
     muñ
    -0.32
     prefeito
    -0.32
     métallique
    -0.31
    POSITIVE LOGITS
     Marketing
    1.38
     marketing
    1.37
    Marketing
    1.26
    marketing
    1.20
     Sales
    1.16
     finance
    1.14
     HR
    1.13
     departments
    1.11
     Finance
    1.11
     sales
    1.11
    Activations Density 0.374%

    No Known Activations