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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. 16399
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    Explanations

    technical specifications related to electronic devices, specifically focusing on storage capacity and processors

    oai_token-act-pair · gpt-3.5-turbo

    specifications related to mobile device hardware

    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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     Statements
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    POSITIVE LOGITS
     powering
    1.18
     chipset
    1.09
     capable
    1.01
     adapter
    1.00
     equipped
    0.96
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     installed
    0.95
     fitted
    0.94
     onboard
    0.94
    equipped
    0.93
    Activations Density 0.191%

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