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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 9429
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    references to sports and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HandlerContext
    -0.52
    queryInterface
    -0.51
     φω
    -0.47
     caminhão
    -0.47
    Autoritní
    -0.47
     caminhos
    -0.44
     Miao
    -0.44
     Jie
    -0.42
     Kapitel
    -0.42
     PyLong
    -0.42
    POSITIVE LOGITS
     sport
    1.28
    Sports
    1.23
     sports
    1.22
     Sport
    1.18
     Sports
    1.16
     SPORT
    1.16
    sports
    1.15
    Sport
    1.14
     SPORTS
    1.12
    sport
    1.11
    Activations Density 0.038%

    No Known Activations