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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. 5026
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    specific car models and their characteristics

    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
     hjelp
    -0.40
     humain
    -0.38
    Décès
    -0.38
     dipendenti
    -0.38
     EconPapers
    -0.36
    rungsseite
    -0.36
     dø
    -0.35
     estekak
    -0.35
     tocado
    -0.33
     registrazione
    -0.32
    POSITIVE LOGITS
     premium
    0.90
     mid
    0.88
     compact
    0.85
    premium
    0.79
     flagship
    0.76
     Premium
    0.73
     entry
    0.72
     Compact
    0.71
    compact
    0.71
     mainstream
    0.70
    Activations Density 0.410%

    No Known Activations