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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 3217
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    phrases related to addressing issues or concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gu
    -0.61
     Wyman
    -0.56
     gu
    -0.54
     money
    -0.54
    perfect
    -0.54
    assertEqual
    -0.53
    Gu
    -0.51
    поді
    -0.50
     perfect
    -0.50
     Berech
    -0.49
    POSITIVE LOGITS
     Addressing
    1.50
     addressed
    1.46
     addressing
    1.46
    Addressing
    1.44
    addressed
    1.38
     Addresses
    1.24
     addresses
    1.22
     issues
    1.14
    Addresses
    1.12
     tackling
    1.10
    Activations Density 0.101%

    No Known Activations