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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 5852
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    Explanations

    references to noise levels and their implications in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Tare
    -0.80
     abandonné
    -0.71
     intéress
    -0.70
     Daphne
    -0.70
     Haywood
    -0.69
    endregion
    -0.68
     betrek
    -0.68
     corações
    -0.67
     comparação
    -0.66
    __*/
    -0.66
    POSITIVE LOGITS
     NOISE
    1.02
     noise
    0.98
     Noise
    0.95
     noises
    0.90
    Noise
    0.86
    noise
    0.84
     NTIS
    0.82
    addWidget
    0.77
    phants
    0.74
     Edges
    0.74
    Activations Density 0.083%

    No Known Activations