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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2802
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    Explanations

    phrases and terms related to mountain landscapes and geographical features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hilly
    -0.69
    WebServlet
    -0.61
    Попис
    -0.59
     EconPapers
    -0.59
    MessageTagHelper
    -0.58
     intStringLen
    -0.58
     hills
    -0.57
     Hills
    -0.56
     Hügel
    -0.54
     hill
    -0.53
    POSITIVE LOGITS
     glaciers
    0.62
     glacier
    0.61
     Glacier
    0.44
     gla
    0.43
     ice
    0.42
    Gla
    0.41
    gla
    0.40
     avalanche
    0.38
     glacial
    0.38
     Ice
    0.36
    Activations Density 0.141%

    No Known Activations