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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11514
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    Explanations

    phrases related to manufacturing processes and efficiency improvements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lück
    -0.40
     Nieren
    -0.34
    Pratique
    -0.34
     bandeira
    -0.33
    CloseOperation
    -0.32
    Amateur
    -0.32
     megsz
    -0.32
     restaurar
    -0.32
     Felsen
    -0.32
     Bezir
    -0.31
    POSITIVE LOGITS
     manufacturing
    1.22
    manufacturing
    1.10
     production
    1.09
     Manufacturing
    1.09
    Manufacturing
    1.08
     Production
    1.05
    Production
    1.02
    production
    0.98
     assembly
    0.95
     manufac
    0.91
    Activations Density 0.432%

    No Known Activations