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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3260
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    Explanations

    references to snack foods and related behaviors

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     ویکی‌پدی
    -0.45
     séjours
    -0.42
     cocin
    -0.42
    seins
    -0.41
    ніципалі
    -0.40
     cocinar
    -0.40
    Sleeping
    -0.40
    ednesdays
    -0.40
    Geplaatst
    -0.39
     chrétiens
    -0.39
    POSITIVE LOGITS
     snack
    1.74
     snacks
    1.70
     Snacks
    1.48
     Snack
    1.46
    snack
    1.43
    Snacks
    1.37
    Snack
    1.34
     nib
    1.02
    零食
    0.98
     munch
    0.91
    Activations Density 0.153%

    No Known Activations