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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 13070
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    Explanations

    phrases and information related to weather conditions, particularly heavy rain events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedCtor
    -0.44
    __*/
    -0.38
     CallOverrides
    -0.37
     للمعارف
    -0.36
    ########.
    -0.36
     vectorielles
    -0.35
     fibras
    -0.34
    IBOutlet
    -0.33
    حوالہ
    -0.32
     fibra
    -0.31
    POSITIVE LOGITS
     rain
    3.03
     Rain
    2.61
    Rain
    2.55
     rains
    2.50
     raining
    2.33
     rained
    2.33
     RAIN
    2.30
    rain
    2.30
     rainfall
    2.27
     rainy
    2.11
    Activations Density 0.338%

    No Known Activations