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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 3896
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    Explanations

    concepts related to overall efficiency and engineering challenges

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     FetchType
    -0.75
     OFDb
    -0.74
     queſta
    -0.73
    <unused51>
    -0.70
    <unused42>
    -0.70
    <unused14>
    -0.70
    <unused16>
    -0.69
    <unused28>
    -0.69
    <unused3>
    -0.69
    [@BOS@]
    -0.69
    POSITIVE LOGITS
     tilf
    0.49
    Rüyada
    0.44
     cannot
    0.41
     경우
    0.40
    の場合
    0.40
    の場合は
    0.40
     engineering
    0.40
     out
    0.39
     cases
    0.38
    場合
    0.38
    Activations Density 0.378%

    No Known Activations