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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
    11. 4438
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    references to lenses, especially in medical and optical contexts

    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
    MLLoader
    -0.60
    +#+#
    -0.53
     føl
    -0.44
     alvor
    -0.44
    +#+
    -0.44
     wireType
    -0.43
     屋根
    -0.43
     overras
    -0.40
    bootstrapcdn
    -0.40
    MessageTagHelper
    -0.40
    POSITIVE LOGITS
    ich
    0.72
    liche
    0.72
     din
    0.67
     Ich
    0.67
     ich
    0.66
     Din
    0.65
    lich
    0.65
    Ich
    0.64
     lens
    0.63
     optical
    0.62
    Activations Density 0.474%

    No Known Activations