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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. 14380
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    terms related to lunch and lunchtime

    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
    qvarna
    -0.45
     surla
    -0.38
     MonoBehaviour
    -0.37
    celona
    -0.37
    ttino
    -0.36
    wahati
    -0.36
    autorest
    -0.36
    conio
    -0.34
    Istorija
    -0.34
    critti
    -0.34
    POSITIVE LOGITS
     lunch
    1.27
     Lunch
    1.23
    Lunch
    1.19
    lunch
    1.08
     LUNCH
    1.07
     lunchtime
    1.04
     noon
    1.03
     luncheon
    0.98
     lunches
    0.94
     midday
    0.93
    Activations Density 0.211%

    No Known Activations