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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 16127
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    Explanations

    vocabulary related to transportation and logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     initComponents
    -0.56
     noires
    -0.54
     fermés
    -0.52
     externi
    -0.51
     nettsted
    -0.50
     apparente
    -0.49
    Odkazy
    -0.48
     agujeros
    -0.47
     rendah
    -0.47
     financières
    -0.46
    POSITIVE LOGITS
     goods
    1.26
     cargo
    1.09
     merchandise
    1.02
     supplies
    0.99
     cargoes
    0.98
    goods
    0.97
     cargos
    0.92
    cargo
    0.91
     loads
    0.91
     luggage
    0.90
    Activations Density 0.507%

    No Known Activations