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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. 8-RES-JB
    11. 12370
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    Explanations

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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Quart
    -0.90
     arming
    -0.77
     induction
    -0.77
     prosecuting
    -0.76
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.76
     toughness
    -0.75
     Lieutenant
    -0.74
    rentices
    -0.72
     Hag
    -0.72
    emate
    -0.72
    POSITIVE LOGITS
     URLs
    1.36
     websites
    1.26
     Gmail
    1.25
     spam
    1.24
     subreddits
    1.24
     retweet
    1.23
     SEO
    1.20
     keywords
    1.20
     hasht
    1.19
     browsing
    1.18
    Activations Density 1.106%

    No Known Activations