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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Attention Out - 16k
    5. 10-GEMMASCOPE-ATT-16K
    6. 6499
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    Explanations

    attends to performance-related metrics from numerical specifications regarding vehicles

    oai_attention-head · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-att-16k
    Configuration
    google/gemma-scope-2b-pt-att/layer_10/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.attn.hook_z
    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

    Head Attr Weights
    0:0.12
    1:0.16
    2:0.11
    3:0.11
    4:0.13
    5:0.05
    6:0.11
    7:0.17
    Negative Logits
     Réponses
    -0.46
    enderror
    -0.46
    StoryboardSegue
    -0.43
    出版年
    -0.43
    TintMode
    -0.38
    WriteBarrier
    -0.38
     nahilalakip
    -0.38
     Theſe
    -0.38
    NameInMap
    -0.38
     greateſt
    -0.38
    POSITIVE LOGITS
     bordo
    0.30
    kak
    0.29
    вания
    0.28
    ザ
    0.28
    SA
    0.27
     co
    0.27
    is
    0.27
     Mehl
    0.27
    the
    0.27
    chlag
    0.27
    Activations Density 0.022%

    No Known Activations