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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. 11667
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical information, particularly related to contact details or identifiers

    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
     tradition
    -0.69
     sle
    -0.62
     bark
    -0.62
     court
    -0.61
     groom
    -0.61
    aned
    -0.60
     newfound
    -0.59
    wings
    -0.59
     waning
    -0.58
     generational
    -0.58
    POSITIVE LOGITS
     CrossRef
    0.79
    GMT
    0.77
     IMAGES
    0.77
     Magicka
    0.75
     Reserved
    0.72
     DOI
    0.72
     Admission
    0.70
    âĢİ
    0.69
     Quote
    0.69
     978
    0.69
    Activations Density 0.041%

    No Known Activations