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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. 15991
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    references to different types of channels

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     suaminya
    -0.51
    reszcie
    -0.47
     rumahnya
    -0.46
    impianto
    -0.45
     meille
    -0.44
     nowego
    -0.42
     exigencias
    -0.42
     macetas
    -0.42
     maceta
    -0.42
     ră
    -0.41
    POSITIVE LOGITS
     Channel
    1.11
     channel
    1.09
     Channels
    0.92
     canal
    0.91
    Channel
    0.91
     Canal
    0.90
     channels
    0.88
     CHANNEL
    0.87
    Canal
    0.80
     CANAL
    0.80
    Activations Density 0.233%

    No Known Activations