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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. 1586
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    Explanations

    phrases related to socializing and relaxing over drinks

    oai_token-act-pair · gpt-3.5-turbo

    references to social drinking and casual gatherings

    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
    SPONSORED
    -0.74
    ifer
    -0.73
    CN
    -0.72
     obstruct
    -0.71
    oub
    -0.70
    ItemImage
    -0.70
    entity
    -0.70
     Canaver
    -0.69
     requiring
    -0.69
     Naj
    -0.65
    POSITIVE LOGITS
     coffee
    0.99
     whiskey
    0.99
     booze
    0.99
     beers
    0.96
     popcorn
    0.95
     drinks
    0.95
     BBQ
    0.95
     champagne
    0.94
     whisky
    0.94
     cocktails
    0.92
    Activations Density 0.614%

    No Known Activations