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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. 4-RES-JB
    11. 2839
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    Explanations

    code snippets related to text processing and user input handling

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and concepts related to user input and system functionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     context
    0.96
     node
    0.87
     iterator
    0.85
     wrapper
    0.81
     output
    0.80
     cursor
    0.79
     runtime
    0.78
     initialization
    0.77
     input
    0.76
     pointer
    0.75
    Activations Density 0.342%

    No Known Activations