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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 1466
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    Explanations

    mentions of meals, particularly lunch and dinner

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to meals, specifically lunch.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    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
    -0.49
     vouloir
    -0.43
    rotor
    -0.43
    channelId
    -0.43
     vampire
    -0.43
     regalías
    -0.43
    pasang
    -0.43
    dengar
    -0.42
     CHANNEL
    -0.42
     mindless
    -0.42
    POSITIVE LOGITS
    Dinner
    0.92
     lunch
    0.91
     Lunch
    0.89
     dinner
    0.89
     Dinner
    0.89
    Lunch
    0.88
    dinner
    0.82
     DINNER
    0.82
    lunch
    0.81
     breakfast
    0.81
    Activations Density 0.033%

    No Known Activations