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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 9401
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    references to self-identification or self-naming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    autoreleasepool
    -0.45
    BagLayout
    -0.44
    rahat
    -0.43
    BrowserModule
    -0.41
    обходимо
    -0.41
     ویکی‌آمباردا
    -0.40
    CardContent
    -0.40
     ExecuteAsync
    -0.39
     HasFactory
    -0.39
    enterOuterAlt
    -0.39
    POSITIVE LOGITS
     dubbed
    0.93
    稱為
    0.89
     nicknamed
    0.88
     termed
    0.87
     disebut
    0.86
    被称为
    0.84
     nazy
    0.83
    简称
    0.80
     renamed
    0.80
     named
    0.79
    Activations Density 0.540%

    No Known Activations