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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. 9-RES-JB
    11. 6941
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    Explanations

    formats and options in electronic and physical media

    oai_token-act-pair · gpt-3.5-turbo

    references to various digital and physical media formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    uckland
    -0.93
     Fenrir
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    jriwal
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    ndra
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    volent
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    -0.76
    bane
    -0.76
     Leilan
    -0.75
    jobs
    -0.71
    occup
    -0.71
    POSITIVE LOGITS
     paperback
    1.43
     PDF
    1.33
     formats
    1.32
     format
    1.27
     printer
    1.26
     typew
    1.26
     ebook
    1.26
     DVD
    1.25
     JPEG
    1.25
     pdf
    1.21
    Activations Density 0.755%

    No Known Activations