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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12939
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to time-related concepts or terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    æĸ¹
    -0.74
     Lutheran
    -0.66
     Yang
    -0.61
     Borders
    -0.60
    REDACTED
    -0.59
     cosmetic
    -0.58
     Elf
    -0.57
     Parent
    -0.57
     Loans
    -0.57
     Universities
    -0.56
    POSITIVE LOGITS
    othy
    1.43
    etime
    1.04
    bered
    1.01
    bral
    1.00
    estones
    0.99
    ework
    0.98
    estamp
    0.96
    eway
    0.94
    eless
    0.91
    sters
    0.90
    Activations Density 0.028%

    No Known Activations