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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. 3-RES-JB
    11. 444
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    Explanations

    functions and method calls related to data manipulation in a programming context

    oai_token-act-pair · gpt-3.5-turbo

    programming concepts related to database management and asynchronous functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     Noct
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    ouver
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    POSITIVE LOGITS
     Context
    0.98
    Provider
    0.96
     callback
    0.95
     handler
    0.95
    Handler
    0.93
     Framework
    0.89
    Async
    0.86
    Context
    0.85
     Handler
    0.84
     instance
    0.83
    Activations Density 0.172%

    No Known Activations