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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 4240
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    Explanations

    references to meals and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     McKenzie
    -0.50
     agência
    -0.49
     Agency
    -0.47
    AutoScaleMode
    -0.47
    ientôt
    -0.46
    헌
    -0.46
     caneta
    -0.46
     sério
    -0.45
     KNOWN
    -0.45
    omonas
    -0.45
    POSITIVE LOGITS
    Dinner
    1.23
     dinner
    1.22
     Dinner
    1.20
    dinner
    1.14
     lunch
    1.12
    Lunch
    1.09
     Lunch
    1.07
     DINNER
    1.05
    lunch
    0.99
     LUNCH
    0.94
    Activations Density 0.116%

    No Known Activations