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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 5731
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    Explanations

    references to respiratory illnesses and their symptoms

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

    medical terminology and discussions related to illness, particularly viral infections and health test results.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    words and phrases related to illness, sickness, and disease symptoms.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Parameteri
    -0.37
    EndGlobalSection
    -0.34
    プロン
    -0.34
     anzub
    -0.33
     retirement
    -0.33
    レザー
    -0.33
     반
    -0.32
     Chriftian
    -0.32
     چرم
    -0.31
    ModelSerializer
    -0.31
    POSITIVE LOGITS
     colds
    1.26
     flu
    1.21
     influenza
    1.13
     fever
    1.06
     Influenza
    1.04
    感冒
    0.98
    Fever
    0.98
     Fever
    0.96
     cold
    0.96
     Flu
    0.94
    Activations Density 0.337%

    No Known Activations