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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 123
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    Explanations

    quantitative measurements and chemical properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     enfans
    -0.57
     Romains
    -0.54
     tää
    -0.51
    Tikang
    -0.46
     avoient
    -0.46
     pitä
    -0.44
     chi̍t
    -0.44
     Houſe
    -0.43
     Schluss
    -0.43
    vikle
    -0.43
    POSITIVE LOGITS
     caffeine
    0.85
     progesterone
    0.84
     glucose
    0.84
     testosterone
    0.81
     melatonin
    0.81
     urea
    0.79
     ammonia
    0.79
     nitric
    0.79
     vitamin
    0.78
     nicotine
    0.78
    Activations Density 4.085%

    No Known Activations