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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1311
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    Explanations

    terms related to snow and ice conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.60
     gynhyrchwyd
    -0.49
    exitRule
    -0.49
    Джерела
    -0.48
     řekl
    -0.47
     EconPapers
    -0.46
     sacó
    -0.46
     tempio
    -0.45
     članak
    -0.44
    
    -0.44
    POSITIVE LOGITS
     snow
    1.41
     Snow
    1.17
    snow
    1.14
    Snow
    1.10
     SNOW
    1.07
     ice
    1.05
     snows
    1.03
     Ice
    0.96
    SNOW
    0.95
     snowfall
    0.93
    Activations Density 0.157%

    No Known Activations