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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. 9-RES-JB
    11. 23200
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    Explanations

    references to the inconvenience of returning items

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to customer returns and convenience in transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.78
     biome
    -0.75
     UNESCO
    -0.74
     declass
    -0.73
     Reconstruction
    -0.71
     assassinated
    -0.71
    Scientists
    -0.70
     Chern
    -0.68
     Dwarf
    -0.67
     pacif
    -0.67
    POSITIVE LOGITS
     purchases
    1.51
     invoice
    1.41
     purchase
    1.41
     payment
    1.39
     coupons
    1.37
     debit
    1.34
     refund
    1.33
     purchaser
    1.32
     refunds
    1.31
     coupon
    1.31
    Activations Density 0.949%

    No Known Activations