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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 14849
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    phrases related to addressing specific issues or questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/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.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VIAF
    -0.49
     Tycoon
    -0.46
    principalColumn
    -0.42
     touristique
    -0.40
    opers
    -0.40
     cancelamento
    -0.40
    romechanical
    -0.39
    ruiter
    -0.39
    ']?>
    -0.39
     Painters
    -0.39
    POSITIVE LOGITS
     addressed
    1.21
     addressing
    1.20
    addressed
    1.04
    Addressing
    1.02
     Addressing
    1.00
     addresses
    0.85
     address
    0.83
     ADDRESS
    0.82
     tackled
    0.82
     tackling
    0.81
    Activations Density 0.177%

    No Known Activations