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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
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    references to rain and precipitation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accommodation
    -0.45
    ształ
    -0.41
     kater
    -0.38
    拔
    -0.38
     Bekasi
    -0.37
    aktus
    -0.35
    ukung
    -0.35
     pulmonar
    -0.34
     accommodations
    -0.34
    couverte
    -0.34
    POSITIVE LOGITS
     rain
    1.42
     Rain
    1.25
    rain
    1.18
    Rain
    1.16
     RAIN
    1.07
     rained
    1.03
     rains
    1.01
    雨
    0.88
     trouble
    0.87
     Rains
    0.85
    Activations Density 0.068%

    No Known Activations