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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. 3170
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    keywords related to beer

    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 @ 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
    heed
    -0.85
     Telecommunications
    -0.83
    itives
    -0.71
     Lanka
    -0.70
    aido
    -0.70
     Telecom
    -0.69
    urances
    -0.65
    ciating
    -0.65
    20439
    -0.65
    UTC
    -0.64
    POSITIVE LOGITS
     brewed
    1.38
     drinkers
    1.15
     tasting
    1.00
     cans
    1.00
     bottles
    0.98
     brewing
    0.96
     brewers
    0.95
     bottle
    0.94
     brewer
    0.93
     tast
    0.91
    Activations Density 0.027%

    No Known Activations