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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1120
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    Explanations

    references to various types of rewards and rentals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tonsoft
    -0.65
    Personendaten
    -0.56
    MigrationBuilder
    -0.49
     EconPapers
    -0.46
    BagConstraints
    -0.45
    Disliked
    -0.45
     InputDecoration
    -0.44
    ervazione
    -0.43
     гля
    -0.42
     IndexPath
    -0.42
    POSITIVE LOGITS
     rewards
    0.58
     recompensa
    0.50
     reward
    0.49
    Rewards
    0.46
    rewards
    0.46
    tagHelperRunner
    0.46
     rent
    0.45
     compens
    0.44
    WebElementEntity
    0.44
     rewarded
    0.43
    Activations Density 1.610%

    No Known Activations