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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. 3-RES-JB
    11. 23684
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    Explanations

    mentions of craft beer-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to craft beer and brewing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DPR
    -0.81
     Utt
    -0.74
     Grayson
    -0.74
     Supplementary
    -0.73
    terior
    -0.67
     Gamergate
    -0.67
     Imran
    -0.66
     Standing
    -0.65
     Fifa
    -0.64
     UKIP
    -0.64
    POSITIVE LOGITS
     brands
    1.08
     beverages
    1.06
     beers
    1.06
     brewer
    1.05
     artisan
    1.03
     beverage
    1.02
     breweries
    0.99
     cider
    0.98
     tasting
    0.97
    artisan
    0.95
    Activations Density 0.119%

    No Known Activations