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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. 3-RES-JB
    11. 6258
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    references to specific files and directories in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of files in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    rontal
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    ĸļ
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    isol
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    ammad
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    pter
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    POSITIVE LOGITS
     descriptor
    1.06
    ystem
    0.98
    Upload
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    ettes
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    types
    0.82
     descript
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     FILE
    0.81
    Names
    0.80
     file
    0.79
    Activations Density 0.013%

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