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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. 2-RES-JB
    6. 16440
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    Explanations

    mentions of documentation or related phrases such as "documentation and help section."

    oai_token-act-pair · gpt-3.5-turbo

    references to documentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     documentation
    1.20
     Documentation
    0.98
     documenting
    0.89
     docs
    0.81
     proofs
    0.78
     specification
    0.78
     markup
    0.77
     documented
    0.75
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    0.75
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    0.73
    Activations Density 0.006%

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