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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7049
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    Explanations

    references to professional athletes and their accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AxisAlignment
    -0.40
    withOpacity
    -0.38
     viscose
    -0.36
    Appender
    -0.36
    yecek
    -0.36
    ɫ
    -0.35
    HomeAsUpEnabled
    -0.35
     Moseley
    -0.35
     beret
    -0.35
     ahşap
    -0.34
    POSITIVE LOGITS
     wrestling
    1.52
     Wrestling
    1.36
     wrestlers
    1.30
     wrestler
    1.27
    Wrestling
    1.27
     WWE
    1.26
     wrestle
    1.22
     wrestled
    1.15
    WWE
    1.09
     Wrestle
    1.09
    Activations Density 0.163%

    No Known Activations