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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. 29692
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    Explanations

    mentions of colleagues or references to colleagues in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    colleague or international variants

    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
    Not in Any Lists

    No Comments

    Negative Logits
    orghini
    -0.43
     Sound
    -0.40
    RequiresApi
    -0.36
    AISSEE
    -0.36
    XmlAccessorType
    -0.36
    PreExecute
    -0.35
     Khart
    -0.35
     Water
    -0.35
     Air
    -0.35
     Hols
    -0.35
    POSITIVE LOGITS
     colleagues
    2.09
     colleague
    2.06
     Colleagues
    1.81
     collègues
    1.70
     collega
    1.60
     Kollegen
    1.47
     colegas
    1.44
     colega
    1.34
    同事
    1.30
     колле
    1.13
    Activations Density 0.003%

    No Known Activations