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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. 3-RES-JB
    11. 6428
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    Explanations

    references to specific retail stores, particularly Walmart

    oai_token-act-pair · gpt-3.5-turbo

    mentions of retail stores, specifically Walmart and Costco

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odic
    -0.87
    ydia
    -0.73
    bil
    -0.73
     orally
    -0.72
    adal
    -0.70
    arial
    -0.70
    ews
    -0.68
    thia
    -0.67
    vous
    -0.66
    aphael
    -0.64
    POSITIVE LOGITS
     Stores
    1.10
    halla
    0.95
    ©¶æ¥µ
    0.84
     stores
    0.84
    mart
    0.84
     Skydragon
    0.82
     Walmart
    0.80
     Store
    0.79
     store
    0.79
     shelves
    0.76
    Activations Density 0.009%

    No Known Activations