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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. 2236
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    terms related to injuries and accidents

    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
     linkovi
    -0.52
    ########.
    -0.45
     loath
    -0.43
    usammen
    -0.40
    tagext
    -0.40
     Heere
    -0.38
    Хьажоргаш
    -0.36
     horribly
    -0.34
    Kanpo
    -0.34
     Bade
    -0.34
    POSITIVE LOGITS
     injury
    1.72
     damage
    1.46
    injury
    1.45
     Injury
    1.45
    Injury
    1.42
     injuries
    1.38
     failure
    1.34
     contamination
    1.32
     pollution
    1.32
     abuse
    1.32
    Activations Density 2.373%

    No Known Activations