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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. 10-RES-JB
    11. 21840
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    actions related to physically taking something

    oai_token-act-pair · gpt-3.5-turbo

    actions related to taking or removing items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    abol
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    gian
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    Develop
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    iggurat
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    llor
    -0.59
    fg
    -0.59
    eman
    -0.59
     Colleg
    -0.58
    Interstitial
    -0.57
    POSITIVE LOGITS
     care
    1.16
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    1.15
     photographs
    1.11
     pictures
    1.07
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    1.04
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    1.03
     aback
    1.02
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    1.01
     precautions
    0.99
     pics
    0.98
    Activations Density 0.089%

    No Known Activations