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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 9575
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    Explanations

    questions or conditional phrases that involve the word "que" (that/which)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ſelf
    -0.96
     purpoſe
    -0.95
     itſelf
    -0.90
     Jefus
    -0.90
     myſelf
    -0.88
     Majefty
    -0.88
     Diſ
    -0.86
     Perſ
    -0.86
     houſe
    -0.85
     Chriſt
    -0.85
    POSITIVE LOGITS
     que
    0.91
    Que
    0.88
     Que
    0.87
     QUE
    0.74
     że
    0.71
     hogy
    0.68
    Qui
    0.66
    que
    0.65
     he
    0.64
     ModelExpression
    0.63
    Activations Density 0.031%

    No Known Activations