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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 10767
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    tweeted messages

    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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Binding
    -0.63
     initiation
    -0.63
     disadvantages
    -0.61
     cent
    -0.57
     Protector
    -0.57
    èĢ
    -0.56
     shaping
    -0.55
    Chapter
    -0.55
     phase
    -0.54
     mold
    -0.53
    POSITIVE LOGITS
     tweeted
    3.55
     retweet
    2.36
     tweeting
    2.35
     tweets
    2.23
     tweet
    2.16
     Tweet
    1.81
     texted
    1.79
     emailed
    1.57
    Tweet
    1.56
    Twitter
    1.54
    Activations Density 0.014%

    No Known Activations