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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 7495
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    Explanations

    key aspects related to the performance and characteristics of materials, especially in the context of energy storage and environmental factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chwiliwch
    -0.56
    あえて
    -0.56
    ReusableCell
    -0.55
     EconPapers
    -0.52
     $_"
    -0.51
    Carriera
    -0.48
     utafitiHapana
    -0.47
     Italijani
    -0.45
     оригіналу
    -0.45
    AsUp
    -0.45
    POSITIVE LOGITS
     determines
    2.33
     determine
    2.22
     determining
    2.16
    determin
    1.96
    determine
    1.88
     Determines
    1.86
     détermin
    1.74
     determined
    1.73
     determinar
    1.73
     DETERMIN
    1.73
    Activations Density 1.596%

    No Known Activations