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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. 8-RES-JB
    11. 14896
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    Explanations

    references to various types of beer and related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of beer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Telecommunications
    -0.89
     Telecom
    -0.76
    itives
    -0.72
     Lanka
    -0.70
    ortex
    -0.68
     metic
    -0.67
    heed
    -0.67
    aido
    -0.66
    UTC
    -0.66
    ulation
    -0.62
    POSITIVE LOGITS
     brewed
    1.33
     drinkers
    1.10
     bottles
    0.92
     brewing
    0.91
     tasting
    0.91
     cans
    0.90
     brewer
    0.90
     bottle
    0.89
     brewers
    0.89
     drinking
    0.86
    Activations Density 0.037%

    No Known Activations