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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2001
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    Explanations

    references to the concept of attention and its allocation in various contexts

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

    "attention"

    np_acts-logits-general · gemini-2.0-flash

    focus and attention

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personensuche
    -0.47
    ReusableCell
    -0.46
    üyor
    -0.42
    PyExc
    -0.42
     démoc
    -0.41
     Económica
    -0.41
     незавершена
    -0.41
    lillah
    -0.41
     plegable
    -0.39
     Turquía
    -0.39
    POSITIVE LOGITS
     attention
    2.34
     Attention
    2.16
    attention
    2.03
    Attention
    2.03
     ATTENTION
    1.76
     attentions
    1.55
     Aufmerksamkeit
    1.48
     atención
    1.45
    ATTENTION
    1.45
     atenção
    1.43
    Activations Density 0.108%

    No Known Activations