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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. 8210
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    Explanations

    details related to maritime activities and seal hunting

    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
     Yucatán
    -0.45
     Practi
    -0.42
     practise
    -0.41
    InitVars
    -0.40
     JADX
    -0.40
     Woodland
    -0.40
     mosquito
    -0.40
    swamp
    -0.38
     Swamp
    -0.38
    Condol
    -0.38
    POSITIVE LOGITS
     seals
    0.89
     seal
    0.79
     Seal
    0.75
     Seals
    0.73
    Seal
    0.70
    seal
    0.67
     penguins
    0.60
     sealing
    0.57
     penguin
    0.54
    SEAL
    0.53
    Activations Density 0.257%

    No Known Activations