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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10224
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    Explanations

    references to grass and lawn maintenance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mer
    -0.47
     NSCoder
    -0.47
     Schlu
    -0.45
     Schra
    -0.45
    Mer
    -0.45
     Huber
    -0.43
     block
    -0.42
     Krak
    -0.40
     Block
    -0.40
    centerTitle
    -0.40
    POSITIVE LOGITS
     grass
    1.11
    grass
    1.05
     césped
    1.05
     lawns
    1.05
     GRASS
    1.02
     rumput
    1.01
    Grass
    1.01
     lawn
    0.96
     Grass
    0.96
     grasses
    0.96
    Activations Density 0.085%

    No Known Activations