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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10624
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    Explanations

    quantitative data and statistical measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kuuta
    -0.44
    سطس
    -0.33
    "}")
    -0.30
    ⓘ
    -0.29
     Вікіпе
    -0.29
    bė
    -0.28
     informée
    -0.28
    llary
    -0.28
     onCreateView
    -0.27
    enumii
    -0.26
    POSITIVE LOGITS
     average
    3.59
    average
    3.17
     Average
    3.14
    Average
    3.11
    平均
    2.91
     AVERAGE
    2.88
     averaged
    2.84
     averages
    2.80
     avg
    2.73
    AVERAGE
    2.72
    Activations Density 2.294%

    No Known Activations