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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. 881
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     clipboard
    -0.78
     manif
    -0.75
     narrowing
    -0.74
     stake
    -0.72
     stakes
    -0.72
    ttes
    -0.71
    enegger
    -0.71
     dossier
    -0.71
     commitments
    -0.71
     implants
    -0.70
    POSITIVE LOGITS
    à¨
    1.28
    ãĥĵ
    1.09
    à¥
    1.09
    çĶ°
    1.07
    ãģ®å®
    1.04
    ÙĪ
    1.04
    Ùİ
    1.03
    ä¸
    1.02
    à©
    1.02
    æľ
    1.00
    Activations Density 0.025%

    No Known Activations