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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. 2384
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    Explanations

    the term "ore," particularly in the context of minerals and substances, while also indicating a focus on terms related to fatigue and monotony

    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
    Not in Any Lists

    No Comments

    Negative Logits
    principalTable
    -0.53
     Photocase
    -0.52
    chartInstance
    -0.50
    Personensuche
    -0.49
     ſte
    -0.48
     systemctl
    -0.46
    MigrationBuilder
    -0.44
     BrowserModule
    -0.42
     otomatig
    -0.42
     للاسماء
    -0.42
    POSITIVE LOGITS
    ore
    1.33
     Bore
    1.23
    Bore
    1.21
     bore
    1.19
    ORE
    1.16
    bore
    1.13
     boredom
    1.09
     boring
    1.08
     bored
    0.98
    boring
    0.97
    Activations Density 0.395%

    No Known Activations