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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 15823
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    statements about crowded environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedDtor
    -0.31
    Ulf
    -0.30
     PyLong
    -0.30
    pantalones
    -0.29
    原始内容
    -0.29
    fortunes
    -0.29
    WebElementEntity
    -0.29
    
    -0.28
    WebVitals
    -0.28
    pinMode
    -0.28
    POSITIVE LOGITS
     busy
    3.27
    busy
    2.80
     Busy
    2.66
    Busy
    2.61
     busiest
    2.38
     sibuk
    2.11
    忙
    2.03
     crowded
    1.92
    BUSY
    1.91
     hectic
    1.87
    Activations Density 0.381%

    No Known Activations