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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 8939
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    references to government spending or expenditure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Meksiku
    -0.49
     plate
    -0.43
     arqu
    -0.42
     kaarangay
    -0.40
     eat
    -0.38
     algas
    -0.38
    Toward
    -0.38
    ubility
    -0.38
     Plate
    -0.37
     cooperación
    -0.37
    POSITIVE LOGITS
     spending
    1.06
     Spending
    0.95
    spending
    0.89
     eating
    0.87
    Spending
    0.85
     Eating
    0.84
    eating
    0.79
    Eating
    0.75
     تضيفلها
    0.56
     consolidation
    0.53
    Activations Density 0.064%

    No Known Activations