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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 2274
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    Explanations

    references to sports events and players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     дописавши
    -0.52
     препратки
    -0.42
    +:+
    -0.42
     Okinawa
    -0.40
     Kauai
    -0.38
     Rptr
    -0.38
     pêche
    -0.38
     plumas
    -0.37
     cubanos
    -0.36
     Kalifor
    -0.36
    POSITIVE LOGITS
     football
    1.16
     footballers
    1.14
     FIFA
    1.09
     Football
    1.09
     soccer
    1.08
     UEFA
    1.08
     Soccer
    1.07
     goalkeeper
    1.06
     footballer
    1.03
    Football
    1.00
    Activations Density 0.515%

    No Known Activations