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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. 10-RES-JB
    11. 7214
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    Explanations

    words related to gardening and outdoor activities

    oai_token-act-pair · gpt-3.5-turbo

    references to gardens or gardening activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esty
    -0.74
    imaru
    -0.73
    EStreamFrame
    -0.71
    itudes
    -0.70
     Pric
    -0.68
    channelAvailability
    -0.68
    nces
    -0.67
    BILITIES
    -0.66
    ictional
    -0.64
    phas
    -0.64
    POSITIVE LOGITS
     garden
    1.05
     gardens
    1.00
     hose
    0.94
     gard
    0.91
     gardening
    0.90
     Garden
    0.86
     vegetables
    0.86
    hire
    0.84
     greens
    0.80
     gn
    0.80
    Activations Density 0.045%

    No Known Activations