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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 14455
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    INDEX
    Explanations

    references to specific individuals or names in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Harbor
    -0.77
     Harbor
    -0.77
     Larson
    -0.66
     Donahue
    -0.66
    hitheater
    -0.63
     Callahan
    -0.63
     Hartman
    -0.63
     Watertown
    -0.61
    Sherman
    -0.60
     Lakewood
    -0.59
    POSITIVE LOGITS
     enquiry
    0.56
     yoghurt
    0.56
     woollen
    0.56
     maths
    0.56
     costes
    0.56
     whilst
    0.54
     beetroot
    0.54
     tyre
    0.52
     learnt
    0.52
     Eccl
    0.51
    Activations Density 4.256%

    No Known Activations