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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. 3389
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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 @ 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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    Negative Logits
    utical
    -0.81
    çĶŁ
    -0.65
    IVES
    -0.63
    é¾į
    -0.63
     divest
    -0.63
     sidx
    -0.63
    éĸ
    -0.62
    æ³
    -0.62
    çīĪ
    -0.61
     treadmill
    -0.61
    POSITIVE LOGITS
    Email
    1.06
     Contact
    1.00
     Email
    0.99
     contact
    0.97
     email
    0.90
     Discord
    0.89
     emailed
    0.88
    mail
    0.87
    email
    0.86
    contact
    0.86
    Activations Density 0.168%

    No Known Activations