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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 15413
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    phrases related to attention and visual processing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    脚注の使い方
    -0.52
     rheumatism
    -0.49
    حياته
    -0.49
     оригіналу
    -0.49
     kasarigan
    -0.49
     vectorielle
    -0.47
    ########.
    -0.47
    MigrationBuilder
    -0.46
    
    -0.46
    BufferException
    -0.45
    POSITIVE LOGITS
     stimulus
    0.54
     participants
    0.52
     elic
    0.49
     jsPsych
    0.47
    Participants
    0.45
     Stimulus
    0.45
     flashed
    0.45
     Participants
    0.45
     evoked
    0.45
     stimuli
    0.45
    Activations Density 0.719%

    No Known Activations