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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 487
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    Explanations

    references to wetland environments and their conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Wetlands and marsh environments

    np_acts-logits-general · gemini-2.0-flash

    wetland and marsh environments

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MLLoader
    -0.71
     Mountaine
    -0.70
    الحياه
    -0.64
     cherchés
    -0.63
     mountaine
    -0.63
     climbers
    -0.62
     Gerais
    -0.61
    tanleria
    -0.61
    tagext
    -0.59
     صوتيه
    -0.58
    POSITIVE LOGITS
     flooded
    1.11
     flood
    1.05
     wetland
    1.05
     flooding
    1.05
     wetlands
    1.04
     swamp
    1.00
     Wetlands
    0.95
     Wetland
    0.94
     Swamp
    0.92
     inund
    0.91
    Activations Density 0.207%

    No Known Activations