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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 14642
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    Explanations

    the word "dim" and variations of "Dar" or "Dark," often in a context related to narrative or descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     NSCoder
    -0.53
     salted
    -0.47
    SBATCH
    -0.46
     ویکی‌پدیای
    -0.44
     paisley
    -0.44
     bloated
    -0.42
     bloating
    -0.42
     Sock
    -0.41
     regroup
    -0.41
     buttery
    -0.41
    POSITIVE LOGITS
     dar
    0.98
     Dar
    0.97
     DAR
    0.93
     dim
    0.90
    Dar
    0.87
    dar
    0.81
    Dim
    0.81
     spark
    0.80
    DAR
    0.79
     Spark
    0.78
    Activations Density 0.404%

    No Known Activations