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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12267
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    INDEX
    Explanations

    references to performance evaluation of a neural network

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    memory and learning

    np_acts-logits-general · gemini-2.0-flash

    memorizing and learning

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGND
    -0.81
    évaluateur
    -0.75
     EconPapers
    -0.74
    rrggbb
    -0.65
     autorytatywna
    -0.65
    帖最后由
    -0.65
    GEBURTS
    -0.65
     TextAppearance
    -0.60
     estekak
    -0.59
     للاسماء
    -0.56
    POSITIVE LOGITS
     memorize
    1.19
     memorized
    1.18
     memor
    1.11
     memori
    0.94
     Memor
    0.94
    Memor
    0.92
     mémor
    0.90
    memor
    0.89
     learning
    0.88
     memory
    0.84
    Activations Density 0.273%

    No Known Activations