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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. 13871
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    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     strutture
    -0.45
     rilass
    -0.44
     gezet
    -0.43
     sicura
    -0.42
     pasien
    -0.41
     deudas
    -0.41
     spalle
    -0.40
     ruchu
    -0.40
     Kampagne
    -0.40
     espectador
    -0.40
    POSITIVE LOGITS
     Samsung
    1.37
     Lenovo
    1.21
    Samsung
    1.17
     Xiaomi
    1.16
     Apple
    1.14
     Motorola
    1.13
     Asus
    1.13
     Huawei
    1.12
     Sony
    1.10
     MacBook
    1.10
    Activations Density 0.630%

    No Known Activations