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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. 36
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    references to sports performance and statistics

    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
     successful
    -0.66
     success
    -0.66
     successfully
    -0.65
     successes
    -0.61
    成功
    -0.59
     succeed
    -0.59
    successfully
    -0.59
     SUCCESS
    -0.59
    Successful
    -0.58
     succeeds
    -0.56
    POSITIVE LOGITS
     losing
    1.07
     losses
    0.99
    Losing
    0.96
     loses
    0.94
     Losing
    0.94
     lose
    0.92
     lost
    0.92
     loss
    0.88
     defeat
    0.87
     Losses
    0.86
    Activations Density 0.215%

    No Known Activations