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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 7253
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    Explanations

    references to chemical attacks and poisoning incidents attributed to specific countries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.80
     tweed
    -0.56
     spars
    -0.54
    iotensin
    -0.54
    omitempty
    -0.52
     Geste
    -0.52
    heb
    -0.52
     Fußballspieler
    -0.52
     Fontana
    -0.50
     Magister
    -0.50
    POSITIVE LOGITS
     toxic
    1.19
     poison
    1.13
     poisonous
    1.05
     Toxic
    1.02
     toxin
    1.00
     toxins
    1.00
     chemical
    0.99
    Toxic
    0.99
    toxic
    0.97
    poison
    0.96
    Activations Density 0.441%

    No Known Activations