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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. 3574
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    quotation marks and references to the city of Paris

    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
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    Negative Logits
     <<<<<<<<<<<<<<
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     réguli
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     Tasche
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     Füße
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     embarazada
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     gyhoeddwyd
    -0.45
     skjø
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     Schuhe
    -0.44
    __":
    -0.44
    POSITIVE LOGITS
    fjspx
    0.49
     noDo
    0.48
    quot
    0.47
    MemoryWarning
    0.46
    modity
    0.43
     catap
    0.42
     SAS
    0.41
    Quack
    0.41
     PAP
    0.40
    <?,
    0.40
    Activations Density 0.105%

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