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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. 9-RES-JB
    11. 1794
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    Explanations

    specific technical terms related to the media format Blu-ray

    oai_token-act-pair · gpt-3.5-turbo

    references to Blu-ray and DVD formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    -0.75
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    noon
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     impunity
    -0.64
     lashes
    -0.61
     prevailing
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     Annotations
    -0.61
     Alz
    -0.58
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    1.45
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    1.38
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    1.01
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    0.91
    elight
    0.91
    eness
    0.88
    eme
    0.88
    eno
    0.87
    Activations Density 0.027%

    No Known Activations