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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 14216
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    references to neglect, particularly in legal or social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ſta
    -0.66
     ſte
    -0.59
     pleaſure
    -0.57
     houſe
    -0.56
     ſch
    -0.55
     cauſe
    -0.53
     poffible
    -0.53
     purpoſe
    -0.52
     leaſt
    -0.52
     fubject
    -0.50
    POSITIVE LOGITS
     adalah
    0.62
     correctly
    0.58
     proper
    0.58
     dismiss
    0.57
     dapat
    0.57
     PROPER
    0.56
     neglect
    0.55
     properly
    0.55
     Properly
    0.55
     Proper
    0.54
    Activations Density 1.751%

    No Known Activations