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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15494
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    INDEX
    Explanations

    phrases related to drawing attention or highlighting important information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    preceding "attention"

    np_acts-logits-general · gemini-2.0-flash

    attracts and directs attention

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tomber
    -0.33
     dep
    -0.32
    schirm
    -0.31
    Yaw
    -0.31
     Ende
    -0.29
     lag
    -0.29
     Yaw
    -0.29
     Lag
    -0.28
    Gag
    -0.28
    Diweddarwch
    -0.28
    POSITIVE LOGITS
     attention
    2.38
    attention
    1.95
     Attention
    1.88
    Attention
    1.87
     Aufmerksamkeit
    1.76
     atención
    1.68
     ATTENTION
    1.66
    attenzione
    1.57
     attentions
    1.54
     внимание
    1.52
    Activations Density 0.228%

    No Known Activations