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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. 6-RES-JB
    11. 701
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    terday
    -0.82
     decomp
    -0.78
     Medline
    -0.68
    aimon
    -0.65
    enegger
    -0.65
    izable
    -0.63
    ignment
    -0.63
     Bengal
    -0.62
    voy
    -0.62
    ifications
    -0.61
    POSITIVE LOGITS
    ĸ
    1.47
    Ķ
    1.35
    ¹
    1.33
    Ĩ
    1.33
    ĺ
    1.33
    ı
    1.30
    Ģ
    1.30
    ·
    1.29
    Ħ
    1.28
    ĵ
    1.25
    Activations Density 0.012%

    No Known Activations