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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12027
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    Explanations

    elements related to vocal performance and quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    expandindo
    -0.67
     الحره
    -0.49
    openzeppelin
    -0.47
     CreateTagHelper
    -0.45
     للاسماء
    -0.45
     <<<<<<<<<<<<<<
    -0.45
    Tikang
    -0.43
    WindowConstants
    -0.43
    onOptions
    -0.43
     كومونز
    -0.42
    POSITIVE LOGITS
     voice
    1.22
    voice
    0.96
     voices
    0.94
     voix
    0.92
     vocal
    0.89
     VOICE
    0.88
     Voice
    0.86
    Voice
    0.86
     vocales
    0.85
     vocale
    0.81
    Activations Density 0.270%

    No Known Activations