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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 20-GEMMASCOPE-RES-16K
    6. 7588
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    Explanations

    references to environmental conditions, particularly snow and ice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cuero
    -0.53
    énario
    -0.51
     Huerta
    -0.48
     redwood
    -0.48
    ypep
    -0.46
     reflux
    -0.43
     epilepsy
    -0.43
     demurrer
    -0.43
    engah
    -0.43
    UAGES
    -0.43
    POSITIVE LOGITS
     ice
    2.08
     snow
    2.00
     Ice
    1.80
     Snow
    1.71
    Ice
    1.70
     frozen
    1.67
    Snow
    1.65
    snow
    1.64
     SNOW
    1.60
     thawed
    1.55
    Activations Density 0.230%

    No Known Activations