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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 14562
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    Explanations

    references to noise pollution and its effects

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    CppMethod
    -0.42
    뀜
    -0.39
     Duff
    -0.36
     EconPapers
    -0.35
     SEDS
    -0.35
    sidemargin
    -0.34
    BeNil
    -0.34
     twist
    -0.33
     pir
    -0.33
     AppCompatTheme
    -0.32
    POSITIVE LOGITS
     noise
    2.47
     loud
    2.20
     Noise
    2.16
    Noise
    2.09
     noisy
    2.09
    noise
    2.08
     NOISE
    2.02
     louder
    1.97
     loudest
    1.90
     ruido
    1.83
    Activations Density 0.375%

    No Known Activations