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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. 208
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    Explanations

    words related to the brewing of beverages, especially beer

    oai_token-act-pair · gpt-3.5-turbo

    references to brewing and related activities

    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
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    No Comments

    Negative Logits
    olphins
    -0.89
    ©¶æ
    -0.74
    ciating
    -0.73
     Grizzlies
    -0.73
    obo
    -0.71
    phis
    -0.70
    eah
    -0.69
    essage
    -0.68
     Telecommunications
    -0.67
     Nets
    -0.67
    POSITIVE LOGITS
     brewing
    1.24
     brewed
    1.23
    Brew
    1.03
     brewer
    1.01
     brewers
    0.99
     brew
    0.92
    eries
    0.86
     beer
    0.85
     Brew
    0.82
    brew
    0.82
    Activations Density 0.016%

    No Known Activations