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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6661
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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 @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     feeder
    -0.52
    lars
    -0.48
     feeding
    -0.48
     flock
    -0.48
     cursing
    -0.47
     upstairs
    -0.47
     grille
    -0.47
     blacklist
    -0.47
     feeders
    -0.47
    katalog
    -0.47
    POSITIVE LOGITS
     achieve
    1.93
     achieved
    1.88
    Achie
    1.83
    achieve
    1.79
     achievement
    1.72
     achieving
    1.72
     achieves
    1.71
    achieved
    1.70
     Achieve
    1.70
     Achie
    1.66
    Activations Density 0.144%

    No Known Activations