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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. 4243
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    phrases related to computational efficiency and optimization

    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
    licherweise
    -0.33
     hamil
    -0.31
     öne
    -0.30
    al
    -0.29
    ingle
    -0.28
    льника
    -0.28
     daring
    -0.27
    ිය
    -0.27
    िय
    -0.27
    raise
    -0.26
    POSITIVE LOGITS
     unnecessarily
    1.13
     unnecessary
    1.08
     needlessly
    1.07
     inneces
    0.90
     wasteful
    0.88
     waste
    0.85
     superfluous
    0.82
    Waste
    0.79
    waste
    0.78
     inutile
    0.78
    Activations Density 0.482%

    No Known Activations