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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. 11-RES-JB
    11. 22010
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    INDEX
    Explanations

    mentions of official reports or statements

    oai_token-act-pair · gpt-3.5-turbo

    references to reports and studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     report
    1.84
     Report
    1.44
     findings
    1.43
     study
    1.41
     conclusions
    1.23
    report
    1.22
     audit
    1.22
     authors
    1.15
     recommendations
    1.15
     summary
    1.14
    Activations Density 0.285%

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