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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. 0-RES-JB
    11. 453
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    Explanations

    words related to beer, such as types of beer, beer-related activities, and descriptions of beer taste and characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to beer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     FAC
    -0.73
    irming
    -0.73
    Cle
    -0.66
    istar
    -0.66
     Doct
    -0.65
    Shar
    -0.64
    atics
    -0.63
    ior
    -0.63
     Cyrus
    -0.62
     Maurit
    -0.62
    POSITIVE LOGITS
     beer
    3.39
    Beer
    2.87
     beers
    2.86
     Beer
    2.78
    beer
    2.71
     brewery
    2.22
     brewers
    2.19
     breweries
    2.14
     brewer
    2.12
     ale
    2.07
    Activations Density 0.024%

    No Known Activations