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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. 11233
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    references to health-related concepts, particularly in the context of medications or medical conditions

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

    No Comments

    Negative Logits
     Glied
    -0.58
     maravillas
    -0.53
     moviliz
    -0.53
     Kindheit
    -0.52
     genoux
    -0.52
     Wikiseite
    -0.51
     cejas
    -0.50
     Gnade
    -0.50
     defaultstate
    -0.50
     creencias
    -0.49
    POSITIVE LOGITS
     utafitiHapana
    0.63
    Transkript
    0.57
     (=
    0.54
    (!)
    0.53
     (!)
    0.53
     vh
    0.50
    ϱ
    0.49
     focussing
    0.48
    antastic
    0.48
     spez
    0.48
    Activations Density 3.098%

    No Known Activations