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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 7981
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    quantitative measurements and specifications related to food or substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Савезне
    -0.64
    ècie
    -0.56
    AddTagHelper
    -0.54
     utafitiHapana
    -0.53
    transQ
    -0.53
    OGND
    -0.52
     Galvan
    -0.52
    expandindo
    -0.50
    Personendaten
    -0.50
    rungsseite
    -0.49
    POSITIVE LOGITS
     gram
    1.96
     grams
    1.80
    gram
    1.66
     Gram
    1.56
    grams
    1.53
    Gram
    1.48
     grammes
    1.41
     грам
    1.33
     GRAM
    1.31
     gramm
    1.30
    Activations Density 0.667%

    No Known Activations