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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10634
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    Explanations

    instances of the word "ran" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ilumina
    -0.44
    esterno
    -0.37
     intervenciones
    -0.36
     veremos
    -0.35
     Konzentration
    -0.35
     tocado
    -0.35
     appeler
    -0.34
     pokrač
    -0.34
     deseos
    -0.33
     tjen
    -0.33
    POSITIVE LOGITS
     Ran
    1.21
     ran
    1.20
    Ran
    1.13
     RAN
    1.10
     ram
    1.09
    RAN
    1.02
    Ram
    0.96
    Ран
    0.96
    ran
    0.96
     Ram
    0.94
    Activations Density 1.820%

    No Known Activations