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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 8814
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    INDEX
    Explanations

    instances of the word "properly" and variations of it, indicating a focus on correct or suitable actions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    correctly executed actions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Umb
    -0.51
    Lens
    -0.47
    picasso
    -0.47
    Vinc
    -0.47
    chiff
    -0.46
    Centa
    -0.46
     Hearst
    -0.45
     Hern
    -0.45
    chargez
    -0.44
    hynch
    -0.44
    POSITIVE LOGITS
     properly
    1.98
    properly
    1.84
     Properly
    1.77
    Proper
    1.74
     PROPER
    1.74
     Proper
    1.64
     proper
    1.59
    proper
    1.54
     correctement
    1.23
     correctly
    1.20
    Activations Density 0.010%

    No Known Activations