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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5101
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    Explanations

    information regarding causes of death and medical conditions related to fatalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bombed
    -0.63
    parsedMessage
    -0.59
     détruit
    -0.58
    InputTagHelper
    -0.58
     détruire
    -0.56
     détru
    -0.54
     bombarded
    -0.52
     Bomb
    -0.52
     threatened
    -0.52
     amenaz
    -0.51
    POSITIVE LOGITS
     coroner
    0.65
     fatal
    0.65
     cause
    0.63
     autopsy
    0.63
     lethal
    0.58
     deaths
    0.58
    Cause
    0.57
     Coroner
    0.56
    cause
    0.56
     death
    0.55
    Activations Density 0.543%

    No Known Activations