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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 992
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    Explanations

    quantitative data related to precipitation and temperature measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CanadaChoose
    -0.45
    ContentAlignment
    -0.43
    berdayakan
    -0.36
     pořád
    -0.34
    TagHelper
    -0.34
    ParallelGroup
    -0.34
    seteq
    -0.33
    latego
    -0.33
    internalType
    -0.33
    kø
    -0.33
    POSITIVE LOGITS
     monthly
    1.08
     annual
    0.98
    monthly
    0.93
     Monthly
    0.91
    Monthly
    0.90
    annual
    0.88
     stations
    0.87
     daily
    0.87
     station
    0.86
     climat
    0.86
    Activations Density 0.804%

    No Known Activations