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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 12158
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    references to breakfast and morning meals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     podjet
    -0.53
     avoient
    -0.52
     îna
    -0.50
     držav
    -0.49
     prochaines
    -0.47
     ilustracja
    -0.46
     Grüsse
    -0.45
     Vernunft
    -0.45
     civilización
    -0.45
     étoient
    -0.43
    POSITIVE LOGITS
     NER
    0.77
     Cube
    0.75
     Breakfast
    0.73
     Nano
    0.71
     Ner
    0.71
     Bubble
    0.69
     cube
    0.68
     Cubes
    0.67
     BAC
    0.67
     cubes
    0.66
    Activations Density 0.412%

    No Known Activations