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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1036
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    Explanations

    references to cleanliness and the maintenance or cleaning of items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    }],
    -0.46
    erweise
    -0.45
    httphttps
    -0.44
    ResumeLayout
    -0.44
    }))
    -0.44
    WriteAttribute
    -0.43
    imanapun
    -0.42
     fread
    -0.42
    createStatement
    -0.41
     pleaſure
    -0.41
    POSITIVE LOGITS
     dirty
    0.84
     grime
    0.79
     dirt
    0.71
     muddy
    0.71
    dirty
    0.68
     soiled
    0.65
    Dirty
    0.65
     Dirty
    0.64
     dust
    0.63
     filthy
    0.63
    Activations Density 0.500%

    No Known Activations