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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. 849
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    references to competitive sports events and achievements

    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
     Konkurrenz
    -0.47
     recevrez
    -0.46
     desierto
    -0.45
     sonrisa
    -0.44
     ejecutivo
    -0.43
     muerto
    -0.42
     serpiente
    -0.41
     laikā
    -0.41
     delegación
    -0.41
     competición
    -0.40
    POSITIVE LOGITS
     Olympics
    1.26
     Olympic
    1.24
     Nobel
    1.09
     olymp
    1.05
    Olympic
    1.03
     World
    1.02
     Grammy
    0.99
     Pulitzer
    0.98
    Olymp
    0.97
     Olymp
    0.96
    Activations Density 0.475%

    No Known Activations