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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. 16346
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    Explanations

    phrases related to crowded places and busy environments

    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
    Not in Any Lists

    No Comments

    Negative Logits
    PerformLayout
    -1.00
    FTFY
    -0.91
    ftagPool
    -0.87
     NSCoder
    -0.86
    esModule
    -0.80
    \{\\
    -0.80
     AttributeSet
    -0.75
    تقاوى
    -0.73
     تضيفلها
    -0.73
     oprot
    -0.72
    POSITIVE LOGITS
     crowds
    0.87
     crowd
    0.85
     crowded
    0.82
     crowding
    0.73
     throng
    0.70
     busiest
    0.66
     overcrowding
    0.66
    Crowd
    0.65
     traffic
    0.63
     bustling
    0.61
    Activations Density 0.120%

    No Known Activations