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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 4573
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    Explanations

    references to meals and specifically lunch

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <tr>
    -0.57
    printStackTrace
    -0.52
    רג
    -0.50
    zä
    -0.49
    rdı
    -0.49
     obrazov
    -0.47
     Brandon
    -0.47
    ▍
    -0.47
    stru
    -0.46
     Kec
    -0.46
    POSITIVE LOGITS
     Lunch
    1.13
     lunch
    1.13
    Lunch
    1.07
     LUNCH
    1.06
    lunch
    1.05
     Tumor
    0.99
     tumor
    0.99
    tumor
    0.99
    Dinner
    0.96
    RenderAtEndOf
    0.94
    Activations Density 0.074%

    No Known Activations