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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 8164
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    Explanations

    words related to various types of trees and plants, particularly focusing on oak and willow

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Eksteraj
    -0.56
    findpost
    -0.52
    TabIndex
    -0.50
     vPvB
    -0.50
    SceneManagement
    -0.50
    hiasan
    -0.50
     Luffy
    -0.49
     Gautier
    -0.49
    Luffy
    -0.49
     Scherer
    -0.49
    POSITIVE LOGITS
     Willow
    0.96
    Willow
    0.87
     Juniper
    0.86
     Cedar
    0.85
     Oak
    0.85
     Alder
    0.81
    Oak
    0.81
     willow
    0.79
     Sage
    0.77
     juniper
    0.75
    Activations Density 2.235%

    No Known Activations