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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 5344
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    Explanations

    specific types of vegetation and their environmental impacts

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

    references to grass and grassland vegetation in natural and agricultural contexts.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Autoritní
    -0.56
    ツリー
    -0.50
     tree
    -0.48
    Tree
    -0.47
    ագրություններ
    -0.47
    Dend
    -0.47
     trees
    -0.47
     árvore
    -0.46
     árbol
    -0.46
    TREE
    -0.45
    POSITIVE LOGITS
     grass
    1.05
    grass
    0.97
     Grass
    0.90
    Grass
    0.88
    GRASS
    0.86
     grasses
    0.85
     grassland
    0.84
     GRASS
    0.82
    草
    0.77
     grassy
    0.76
    Activations Density 0.264%

    No Known Activations