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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 15263
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    Explanations

    mentions of service quality in various contexts, particularly in relation to food and customer experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bewerken
    -1.02
    はじめに
    -0.89
    sizeCache
    -0.87
     дописавши
    -0.87
     noqa
    -0.86
    SourceChecksum
    -0.85
     bezeichneter
    -0.85
     <=",
    -0.84
    GEBURTSDATUM
    -0.83
     ModelExpression
    -0.81
    POSITIVE LOGITS
     overall
    0.57
     workmanship
    0.54
     hospitality
    0.53
     camaraderie
    0.52
     cinematography
    0.52
     craftsmanship
    0.51
     quality
    0.49
    overall
    0.48
     turnout
    0.47
     атмос
    0.47
    Activations Density 0.420%

    No Known Activations