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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11015
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    脚注の使い方
    -0.69
    RTLR
    -0.63
    ंदीखरीदारी
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     Monfieur
    -0.57
    发表于
    -0.55
    참고
    -0.55
    原始内容存档于
    -0.54
     snippetHide
    -0.53
    SharedDtor
    -0.53
     оригіналу
    -0.52
    POSITIVE LOGITS
     Nowadays
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     programme
    0.48
     envisaged
    0.48
     Firstly
    0.47
     informaciones
    0.43
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    0.43
    Firstly
    0.41
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    0.41
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    0.41
     fulfil
    0.40
    Activations Density 0.389%

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