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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. 6-RES-JB
    11. 1689
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    Explanations

    coding syntax such as special characters and commands

    oai_token-act-pair · gpt-3.5-turbo

    phrases or concepts related to significant numerical values or statistics

    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
    heit
    -0.84
    abouts
    -0.64
    rad
    -0.62
    boro
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     footing
    -0.58
    athe
    -0.57
     Torch
    -0.56
     affection
    -0.55
    ijing
    -0.55
    ython
    -0.55
    POSITIVE LOGITS
    Likewise
    0.90
    Furthermore
    0.84
    Moreover
    0.83
    Similarly
    0.82
    Nevertheless
    0.82
    Nonetheless
    0.82
    ³³³³
    0.82
    Therefore
    0.80
    However
    0.80
    Newsletter
    0.76
    Activations Density 0.576%

    No Known Activations