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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 12385
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    Explanations

    medical terms or health-related words

    oai_token-act-pair · gpt-3.5-turbo

    references to health-related terminology and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oÄŁ
    -0.80
    inventoryQuantity
    -0.77
    unci
    -0.71
    itive
    -0.61
    609
    -0.61
    cair
    -0.61
    rogen
    -0.60
    lvl
    -0.59
    erning
    -0.59
    509
    -0.58
    POSITIVE LOGITS
    deen
    0.78
     Revenge
    0.68
     Quest
    0.64
     Dictionary
    0.63
     Mutual
    0.62
     Club
    0.61
    aughters
    0.61
     Dinner
    0.60
    reed
    0.59
    ochond
    0.59
    Activations Density 0.205%

    No Known Activations