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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2174
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    Explanations

    key terms related to rewards and incentives in a digital or app-based context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SuppressLint
    -0.35
    appartamento
    -0.34
     versões
    -0.33
     betreft
    -0.32
     abordagem
    -0.31
    zeera
    -0.31
     vettor
    -0.31
     Breite
    -0.30
    Referenties
    -0.30
    ungkin
    -0.30
    POSITIVE LOGITS
     rewards
    1.27
     reward
    1.25
     Rewards
    1.09
     Reward
    1.05
    Rewards
    1.02
    Reward
    1.00
    rewards
    0.97
    reward
    0.97
     rewarded
    0.91
     récompense
    0.90
    Activations Density 0.150%

    No Known Activations