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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. 17305
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize significant or noteworthy aspects

    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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    Negative Logits
    enegger
    -0.76
    $$$$
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    igation
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     ..............
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    Filename
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    missions
    -0.63
    robe
    -0.62
    Cas
    -0.61
    ivery
    -0.61
     Rooms
    -0.61
    POSITIVE LOGITS
     struck
    0.99
     bothered
    0.98
     noticeably
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     conspic
    0.95
     intrigued
    0.93
     stood
    0.93
     overlooked
    0.92
     impressed
    0.91
     reson
    0.90
     bothers
    0.90
    Activations Density 0.239%

    No Known Activations