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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3794
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    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
    ablishment
    -1.02
    keyes
    -0.89
     mosqu
    -0.79
    warts
    -0.73
    ophen
    -0.72
    ophobia
    -0.70
    NAT
    -0.70
    colo
    -0.69
    ipolar
    -0.69
    ãĤ¼ãĤ¦ãĤ¹
    -0.68
    POSITIVE LOGITS
     repayment
    1.59
     payments
    1.58
     payout
    1.58
     payment
    1.58
     expenses
    1.57
     $
    1.54
     money
    1.52
     cash
    1.52
     pric
    1.43
     taxable
    1.43
    Activations Density 1.299%

    No Known Activations