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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. 4-RES-JB
    11. 6032
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    oai_token-act-pair · gpt-3.5-turbo

    references to files and their importance 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    anson
    -0.93
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    sylvania
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    osate
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    Ĭ±
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    erald
    -0.69
    egal
    -0.69
    ilipp
    -0.68
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    psey
    -0.67
    POSITIVE LOGITS
     descriptor
    1.03
    Upload
    1.00
    ettes
    0.91
     upload
    0.91
     FILE
    0.87
    copy
    0.87
    types
    0.85
    ystem
    0.85
     file
    0.83
    Names
    0.83
    Activations Density 0.015%

    No Known Activations