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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 6706
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    Explanations

    references to meal times and specific dining occasions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nights
    -0.52
     night
    -0.47
    夜景
    -0.47
     nightly
    -0.45
     Nights
    -0.45
     gece
    -0.44
    🌃
    -0.44
    Nights
    -0.43
     Night
    -0.42
    night
    -0.41
    POSITIVE LOGITS
     afternoon
    1.03
     Afternoon
    0.99
    Afternoon
    0.97
     lunch
    0.92
    afternoon
    0.91
     Lunch
    0.90
    Lunch
    0.87
    noons
    0.86
    NOON
    0.85
    noon
    0.84
    Activations Density 0.102%

    No Known Activations