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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 3687
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    Explanations

    terms related to metal accumulation and remediation in plants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/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.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CARBON
    -0.40
    Referanser
    -0.40
    Carbon
    -0.38
    CARBON
    -0.37
     noDo
    -0.37
     linkovi
    -0.36
    carbon
    -0.35
     Carbon
    -0.35
    awtextra
    -0.34
    rugada
    -0.34
    POSITIVE LOGITS
     trace
    0.95
     heavy
    0.87
     metal
    0.84
     Trace
    0.82
     metals
    0.79
     Heavy
    0.78
    heavy
    0.75
     Metal
    0.74
     métal
    0.72
     metallo
    0.72
    Activations Density 1.116%

    No Known Activations