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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    references to medical terms related to medications

    oai_token-act-pair · gpt-3.5-turbo

    references to medicines, particularly focusing on their availability and importance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Atlanta
    -0.73
    IGN
    -0.69
     Dallas
    -0.67
     NYC
    -0.66
     Row
    -0.66
     Anchorage
    -0.66
    Dallas
    -0.65
     Bobby
    -0.65
     Rack
    -0.65
    leneck
    -0.65
    POSITIVE LOGITS
     medicines
    3.62
     medicine
    2.19
    Medic
    1.71
     medications
    1.67
     Medic
    1.58
     Medicine
    1.52
     medicinal
    1.52
     therapies
    1.50
     Pharmaceutical
    1.41
     remedies
    1.41
    Activations Density 0.013%

    No Known Activations