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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 4430
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    Explanations

    references to the sea or related marine contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jumper
    -0.53
     autorytatywna
    -0.50
    hyrchwyd
    -0.46
    ViewHolder
    -0.45
     XXL
    -0.45
     relevan
    -0.43
     Relevant
    -0.43
    Relevant
    -0.41
    Посилання
    -0.41
    援
    -0.40
    POSITIVE LOGITS
     sea
    1.99
    Sea
    1.67
     Sea
    1.66
    sea
    1.55
     SEA
    1.29
    SEA
    1.11
     seas
    0.99
    seag
    0.87
     seawater
    0.82
    Seas
    0.80
    Activations Density 0.046%

    No Known Activations