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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 13766
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    Explanations

    key terms related to behavioral response conditioning and processes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    visiae
    -0.69
     autopsy
    -0.61
     spirituale
    -0.61
    featureID
    -0.60
     Burden
    -0.57
     intptr
    -0.57
    RegistryLite
    -0.57
     supérieures
    -0.56
     Sketches
    -0.56
     supérieure
    -0.56
    POSITIVE LOGITS
     reward
    0.91
     reinforcement
    0.88
     rewards
    0.84
    reward
    0.77
     reinforce
    0.76
     reinforcing
    0.76
     positive
    0.73
     rewarded
    0.73
    Reward
    0.73
     Reward
    0.71
    Activations Density 0.307%

    No Known Activations