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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 11095
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    Explanations

    references to meals, particularly lunch and dinner

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hark
    -0.59
    PPM
    -0.56
     concor
    -0.50
     Gom
    -0.50
    ;">
    -0.49
    ű
    -0.49
    delwed
    -0.47
    ্ড
    -0.47
    bili
    -0.47
    per
    -0.47
    POSITIVE LOGITS
     dinner
    1.28
     lunch
    1.27
    dinner
    1.24
    Lunch
    1.23
     DINNER
    1.22
     Lunch
    1.21
     LUNCH
    1.20
    lunch
    1.18
     lunches
    1.15
     luncheon
    1.15
    Activations Density 0.036%

    No Known Activations