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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 8121
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    Japanese phrases or expressions, particularly idiomatic ones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âmes
    -0.60
    ésult
    -0.56
    ăsp
    -0.51
    ientras
    -0.50
     šķ
    -0.49
     getrock
    -0.49
    atoare
    -0.48
    ambilan
    -0.47
     Baumwolle
    -0.46
     mücade
    -0.46
    POSITIVE LOGITS
     Haddad
    0.55
    こ
    0.54
    み
    0.52
    
    0.52
    じ
    0.51
    Mmmm
    0.50
    け
    0.49
    afy
    0.49
     mmm
    0.48
    ち
    0.48
    Activations Density 0.012%

    No Known Activations