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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 11262
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    Explanations

    key phrases related to travel experiences and logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.51
     AssemblyTitle
    -0.47
     otomatig
    -0.47
     '\\;'
    -0.47
     Taktlose
    -0.45
     noqa
    -0.44
     незавершена
    -0.41
    Geographie
    -0.41
     Auftrag
    -0.41
    +#+#
    -0.40
    POSITIVE LOGITS
     train
    1.10
     bus
    0.96
     trains
    0.93
     Train
    0.87
    train
    0.84
     public
    0.80
     Trains
    0.80
     TRAIN
    0.78
    Train
    0.78
     buses
    0.77
    Activations Density 0.223%

    No Known Activations