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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 12766
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    phrases related to achieving goals or objectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lars
    -0.53
     feeder
    -0.53
     FEED
    -0.51
     Sanderson
    -0.51
     scanners
    -0.50
     Feed
    -0.50
     feeders
    -0.50
     upstairs
    -0.49
     warehouses
    -0.49
    lining
    -0.49
    POSITIVE LOGITS
     achieved
    1.61
     achieve
    1.60
    Achie
    1.59
    achieve
    1.52
     achievement
    1.50
    achieved
    1.47
     achieves
    1.47
     Achie
    1.45
     Achieve
    1.42
     achieving
    1.41
    Activations Density 0.152%

    No Known Activations