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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5294
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    references to canoeing and athletes associated with the sport

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ExecuteAsync
    -0.59
     InputDecoration
    -0.59
    Tikang
    -0.56
     queſta
    -0.51
    brainly
    -0.50
     stockbild
    -0.50
     niedersachsen
    -0.49
     RSSSF
    -0.49
    HasAnnotation
    -0.49
     mauva
    -0.48
    POSITIVE LOGITS
     paddling
    1.20
     paddle
    1.15
     kayak
    1.11
     padd
    1.10
     paddles
    1.04
     kayaks
    1.02
     canoe
    1.02
     Paddle
    0.96
    paddle
    0.92
     oars
    0.90
    Activations Density 0.098%

    No Known Activations