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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. 8886
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    Explanations

    themes of learning from failures and mistakes, along with the importance of personal growth and responsibility

    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
    Not in Any Lists

    No Comments

    Negative Logits
    脅
    -0.39
    gamot
    -0.38
    ποίη
    -0.37
     customs
    -0.37
    комплек
    -0.37
     reaſon
    -0.36
    debe
    -0.36
    ientôt
    -0.36
     Escor
    -0.36
    ftance
    -0.35
    POSITIVE LOGITS
     failures
    0.71
     실패
    0.68
     mistakes
    0.67
     Failures
    0.66
    失敗
    0.66
     experimentation
    0.64
     experiments
    0.64
     Experiments
    0.61
    Experiments
    0.61
     errors
    0.60
    Activations Density 0.277%

    No Known Activations