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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 765
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    details related 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 @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyTitle
    -0.64
    AxisAlignment
    -0.62
     Trying
    -0.56
     autorytatywna
    -0.54
    Thinking
    -0.53
    Trying
    -0.52
     Waiting
    -0.50
     Looking
    -0.49
     Thinking
    -0.49
     pensando
    -0.48
    POSITIVE LOGITS
     earning
    1.37
     winning
    1.24
     scoring
    1.23
     beating
    1.11
     finishing
    1.11
     gaining
    1.09
     achieving
    1.08
    earning
    1.08
     landing
    1.06
     racking
    1.05
    Activations Density 0.553%

    No Known Activations