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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. 6412
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    Explanations

    concepts related to customer feedback and engagement

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     ब्रेकडाउन
    -0.48
     temu
    -0.44
    ArrowToggle
    -0.42
     uda
    -0.41
     manzana
    -0.40
    ultados
    -0.39
     jugu
    -0.39
     drawing
    -0.39
     sula
    -0.38
     withdrawal
    -0.38
    POSITIVE LOGITS
     appreciate
    0.53
     recognize
    0.50
     appreciates
    0.48
     recognizes
    0.46
     recognise
    0.43
     interessiert
    0.41
     prefers
    0.40
     menganggap
    0.40
     appreciating
    0.40
     prefer
    0.39
    Activations Density 0.479%

    No Known Activations