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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. 10-RES-JB
    11. 5697
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    Explanations

    Python code snippets involving mathematical operations

    oai_token-act-pair · gpt-3.5-turbo

    references to programming constructs and methods related to data collection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     ml
    0.92
     srf
    0.91
     ptr
    0.91
     sq
    0.88
     empty
    0.84
     tmp
    0.83
     std
    0.83
     ash
    0.83
     rg
    0.82
     parse
    0.80
    Activations Density 0.077%

    No Known Activations