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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 14472
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    Explanations

    words related to standardization and optimization processes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     utafitiHapana
    -0.92
    rungsseite
    -0.81
     CanadaChoose
    -0.73
    homonymie
    -0.71
    싶
    -0.70
    providedIn
    -0.68
    SBATCH
    -0.66
    IBOutlet
    -0.66
    CloseOperation
    -0.66
    \{\\
    -0.66
    POSITIVE LOGITS
    ποι
    0.40
    程度
    0.35
    ization
    0.34
    ize
    0.33
    化
    0.33
    了的
    0.31
     イエロー
    0.30
     Landwirtschaft
    0.30
    学家
    0.30
     خی
    0.29
    Activations Density 0.550%

    No Known Activations