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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. 11-RES-JB
    11. 19638
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    Explanations

    numerical values related to time and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical or statistical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     âĢ
    -0.75
    Ì
    -0.74
    Í
    -0.72
    ãĢ
    -0.71
    âĪ
    -0.68
    ̶
    -0.68
    âĢ
    -0.67
    ³³³³
    -0.67
    ÃĤ
    -0.65
    ãĥ»
    -0.64
    POSITIVE LOGITS
     JUSTICE
    0.56
     Flavoring
    0.51
     Compass
    0.50
     Canaver
    0.49
     Wallet
    0.46
     Clicker
    0.44
     Reboot
    0.44
    etheless
    0.44
     Poker
    0.44
     Fib
    0.43
    Activations Density 2.174%

    No Known Activations