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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9700
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    Explanations

    concepts related to incentives and rewards in professional settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
    MigrationBuilder
    -0.62
    DeleteBehavior
    -0.56
    queryInterface
    -0.55
    Skocz
    -0.54
     NgModule
    -0.53
    VersionUID
    -0.51
    theit
    -0.51
    AttributeSet
    -0.50
    sidemargin
    -0.48
    kuuta
    -0.48
    POSITIVE LOGITS
     reward
    3.08
     rewards
    2.88
     Reward
    2.55
     rewarded
    2.55
    reward
    2.52
    Reward
    2.43
     Rewards
    2.41
    Rewards
    2.26
    rewards
    2.26
     rewarding
    2.26
    Activations Density 0.360%

    No Known Activations