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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. 7-RES-JB
    11. 21438
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    Explanations

    references to the company IBM

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company IBM

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    fulness
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    liest
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    alogue
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    icles
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    igun
    -0.72
    quez
    -0.71
    alog
    -0.70
    fully
    -0.69
    POSITIVE LOGITS
     Watson
    0.97
     Corporation
    0.78
    ITED
    0.77
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    ERT
    0.75
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    0.71
     Corp
    0.69
     Pavilion
    0.69
    Cola
    0.69
    ERG
    0.68
    Activations Density 0.023%

    No Known Activations