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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. 11465
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    phrases related to reward systems and incentives

    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
    SuppressLint
    -0.46
     перено
    -0.43
    setVerticalGroup
    -0.42
     filter
    -0.40
    filter
    -0.40
    pivot
    -0.36
     Vor
    -0.36
    impres
    -0.35
    fitrión
    -0.35
    Capacidad
    -0.35
    POSITIVE LOGITS
     reward
    3.19
     rewards
    2.94
     Reward
    2.64
    reward
    2.58
     rewarded
    2.50
    Reward
    2.48
     Rewards
    2.44
    Rewards
    2.39
     récompense
    2.31
    rewards
    2.30
    Activations Density 0.466%

    No Known Activations