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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9163
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    Explanations

    key players and their actions in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InsertCommand
    -0.53
    ſelves
    -0.48
    ruptedException
    -0.44
     pleaſure
    -0.43
     favor
    -0.42
     StringTokenizer
    -0.41
     purpoſe
    -0.41
     fubject
    -0.41
     poffible
    -0.41
     viſ
    -0.40
    POSITIVE LOGITS
     guarding
    0.75
     defensive
    0.71
     patrolling
    0.64
     defensively
    0.60
     guard
    0.59
     Defensive
    0.59
     defenders
    0.59
    guarding
    0.57
     guards
    0.56
     policing
    0.56
    Activations Density 0.102%

    No Known Activations