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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. 7-RES-JB
    6. 18550
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    Explanations

    text related to software development, documentation, and programming

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to software documentation and community contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ahu
    -0.68
    drug
    -0.67
     Coulter
    -0.62
    olitics
    -0.60
    mother
    -0.59
    resa
    -0.58
     Ronald
    -0.58
    Donald
    -0.57
     1974
    -0.57
    president
    -0.57
    POSITIVE LOGITS
     workflow
    0.94
     sandbox
    0.91
     tutorials
    0.91
     iter
    0.90
     optimizing
    0.88
     backend
    0.86
     debugging
    0.85
     devs
    0.84
     automate
    0.84
     demos
    0.83
    Activations Density 1.312%

    No Known Activations