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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 9525
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    Explanations

    references to mountains and elevated landforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Demografie
    -0.48
    庁
    -0.43
    uolo
    -0.43
    
    -0.41
    oflavin
    -0.40
    harmed
    -0.39
    Brainz
    -0.39
    anyahu
    -0.39
    detectChanges
    -0.38
    teva
    -0.38
    POSITIVE LOGITS
     mountain
    1.21
     mountains
    1.18
     Mountain
    1.15
    Mountain
    1.14
    mountain
    1.12
    mountains
    1.09
     MOUNTAIN
    1.08
    Mountains
    1.06
     Mountains
    1.06
     montagne
    0.98
    Activations Density 0.184%

    No Known Activations