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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. 115684
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    Explanations

    mentions of "bedside" furniture and related items in the context of a bedroom

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

    bedside manners and clinical screens

    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
     stamps
    -0.43
    並且
    -0.43
     giang
    -0.43
     perciò
    -0.43
    脚注の使い方
    -0.43
     Burke
    -0.43
     marrone
    -0.41
    createStatement
    -0.41
    plakat
    -0.41
     Kwang
    -0.41
    POSITIVE LOGITS
     bedside
    2.25
     headboard
    0.76
     bedtime
    0.75
     bedroom
    0.57
     Schlafzimmer
    0.56
     contextLoads
    0.52
     beira
    0.52
    httphttps
    0.52
    床
    0.51
     Bedi
    0.49
    Activations Density 0.002%

    No Known Activations