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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 15745
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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
     gobl
    -0.73
     disemb
    -0.69
    yip
    -0.68
     ber
    -0.66
     material
    -0.63
    formation
    -0.62
    urat
    -0.62
     defe
    -0.61
     canon
    -0.61
    lator
    -0.61
    POSITIVE LOGITS
     Meanwhile
    1.03
     Nonetheless
    0.96
     Thankfully
    0.95
     Fortunately
    0.94
     Ultimately
    0.92
     Critics
    0.90
     Luckily
    0.90
     But
    0.89
    ↵
    0.89
     Yet
    0.87
    Activations Density 0.664%

    No Known Activations