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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 9131
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    Explanations

    topics related to noise and its impact, particularly in the context of wind turbines and environmental noise pollution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagext
    -0.36
    CppMethod
    -0.33
    ///</
    -0.33
     EconPapers
    -0.32
    bbons
    -0.32
     ferons
    -0.32
    uhn
    -0.31
    HSSF
    -0.30
    RTLI
    -0.30
     Duff
    -0.29
    POSITIVE LOGITS
     noise
    2.83
     Noise
    2.45
    Noise
    2.39
    noise
    2.36
     noisy
    2.27
     NOISE
    2.25
     loud
    2.14
     ruido
    2.06
     noises
    2.02
    noisy
    1.93
    Activations Density 0.522%

    No Known Activations