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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. 17464
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    Explanations

    phrases related to data organization, storage, and communication across different platforms

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and expressions indicating actions related to data and file management

    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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    otics
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    ylum
    -0.63
    iveness
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    ramer
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    POSITIVE LOGITS
     clipboard
    0.92
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    0.88
     Pastebin
    0.84
     ~/.
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     std
    0.83
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    0.82
     disk
    0.81
     google
    0.80
     GitHub
    0.77
     github
    0.77
    Activations Density 0.196%

    No Known Activations