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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. 11625
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    terms related to food items and eating behaviors

    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
     clearColor
    -0.56
    addCriterion
    -0.51
     ویکی‌پدی
    -0.48
    OCCURRED
    -0.45
     CreateTagHelper
    -0.41
     /^\
    -0.40
    tanleria
    -0.40
    Географија
    -0.40
    ╹
    -0.40
     ristoranti
    -0.40
    POSITIVE LOGITS
     snacks
    1.74
     snack
    1.70
     Snacks
    1.50
     Snack
    1.40
    snack
    1.40
    Snacks
    1.39
    Snack
    1.32
     refreshments
    1.13
     refreshment
    1.02
    零食
    0.93
    Activations Density 0.211%

    No Known Activations