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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12174
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    terms related to energy efficiency and waste management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ConstraintMaker
    -0.62
     Chwiliwch
    -0.58
     invokingState
    -0.54
    újo
    -0.52
    NewReader
    -0.50
    Personendaten
    -0.48
    
    -0.47
     насељу
    -0.47
    moveToFirst
    -0.47
     Italijani
    -0.47
    POSITIVE LOGITS
     loss
    0.84
     losses
    0.80
     wastage
    0.75
     Loss
    0.69
    loss
    0.68
     Losses
    0.66
    Loss
    0.65
     leakage
    0.65
    losses
    0.65
     leak
    0.61
    Activations Density 0.454%

    No Known Activations