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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. 2740
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal commentary or quotes from social media

    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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    No Comments

    Negative Logits
     treaties
    -0.92
     Auditor
    -0.81
     negotiators
    -0.77
     conferences
    -0.76
     laboratories
    -0.74
     Trials
    -0.74
     Convention
    -0.72
     booths
    -0.71
     audits
    -0.70
     agreements
    -0.69
    POSITIVE LOGITS
     "@
    1.44
     retweet
    1.40
     posted
    1.29
     hasht
    1.28
     "#
    1.27
    Redditor
    1.26
     posting
    1.25
     tweeted
    1.25
     Tumblr
    1.24
     uploaded
    1.23
    Activations Density 0.493%

    No Known Activations