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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Attention Out - 16k
    5. 0-GEMMASCOPE-ATT-16K
    6. 397
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    oai_attention-head · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-att-16k
    Configuration
    google/gemma-scope-2b-pt-att/layer_0/width_16k/average_l0_104
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.attn.hook_z
    Hook Layer
    0
    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
    0:0.01
    1:0.03
    2:0.02
    3:0.03
    4:0.03
    5:0.01
    6:0.81
    7:0.01
    Negative Logits
    ↵↵↵
    -1.34
    ↵↵↵↵
    -1.11
    ↵↵↵↵↵
    -0.98
    ↵↵
    -0.89
    ↵↵↵↵↵↵
    -0.81
    ↵↵↵↵↵↵↵
    -0.80
    ↵
    -0.79
    ↵↵↵↵↵↵↵↵
    -0.70
    ↵↵↵↵↵↵↵↵↵
    -0.70
    ↵↵↵↵↵↵↵↵↵↵↵
    -0.66
    POSITIVE LOGITS
     autorytatywna
    1.02
    出版年
    0.97
     Efq
    0.96
     iſt
    0.95
     Theſe
    0.92
     ſche
    0.90
     ſtate
    0.89
     Reſ
    0.88
     myſelf
    0.88
     chofe
    0.87
    Activations Density 0.168%

    No Known Activations