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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. 16138
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    Explanations

    terms related to different types of beer, particularly their ingredients and styles

    oai_token-act-pair · gpt-3.5-turbo

    specific types and descriptions of beer

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Gamergate
    -0.99
     guiActiveUn
    -0.96
    Privacy
    -0.88
    iframe
    -0.88
    igslist
    -0.87
    Downloadha
    -0.84
     dehuman
    -0.82
    assment
    -0.81
    ESA
    -0.79
    ospace
    -0.79
    POSITIVE LOGITS
     brewed
    1.65
     ABV
    1.59
     bourbon
    1.48
     whiskey
    1.43
     beers
    1.42
     tasting
    1.39
     brew
    1.34
     wines
    1.34
     Bourbon
    1.32
     Brewery
    1.27
    Activations Density 0.447%

    No Known Activations