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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6850
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    Explanations

    references to batch processing or batch sizes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     그는
    -0.43
     Eröffnung
    -0.40
     lojas
    -0.40
     acesso
    -0.40
     NavController
    -0.39
     доступа
    -0.39
     aufzu
    -0.39
     elétrica
    -0.38
     dėl
    -0.38
     présence
    -0.38
    POSITIVE LOGITS
     batch
    2.30
     Batch
    2.22
    batch
    2.16
    Batch
    2.11
     BATCH
    1.97
     batches
    1.84
    BATCH
    1.78
    batches
    1.51
    批
    1.43
     批
    1.19
    Activations Density 0.169%

    No Known Activations