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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 4994
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    phrases related to time and energy expenditure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.59
    parsedMessage
    -0.52
     CreateTagHelper
    -0.52
    vode
    -0.48
     noDo
    -0.45
    httphttps
    -0.45
    ">//
    -0.45
    حوالہ
    -0.45
     
    -0.44
    IBOutlet
    -0.44
    POSITIVE LOGITS
     spend
    3.20
     spending
    3.16
     spent
    3.00
     spends
    2.92
     Spending
    2.81
     Spend
    2.81
    Spend
    2.78
    Spending
    2.75
    spend
    2.72
     Spent
    2.61
    Activations Density 0.468%

    No Known Activations