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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. 6796
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    Explanations

    references to sports achievements and player statistics

    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
    uktur
    -0.46
    RectangleBorder
    -0.44
    單位
    -0.38
    icose
    -0.38
    sumowanie
    -0.37
     preocupes
    -0.37
     tocó
    -0.37
     forhold
    -0.37
     nôtre
    -0.36
     autori
    -0.35
    POSITIVE LOGITS
     forward
    1.30
     guard
    1.20
     center
    1.20
     centre
    1.10
     midfielder
    1.05
     quarterback
    1.03
     linebacker
    0.99
     catcher
    0.98
     pitcher
    0.98
     winger
    0.98
    Activations Density 0.357%

    No Known Activations