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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 6140
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    Explanations

    phrases related to commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant events or actions

    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
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    Negative Logits
     workplaces
    -0.87
    builders
    -0.85
     departments
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    urches
    -0.84
     discussions
    -0.81
     communities
    -0.81
     constituencies
    -0.81
    vironments
    -0.79
     growers
    -0.79
     environments
    -0.78
    POSITIVE LOGITS
     badge
    1.20
     necklace
    1.18
     bracelet
    1.11
     logo
    1.09
     dagger
    1.03
     doll
    1.02
     plaque
    1.00
     bottle
    1.00
     amulet
    0.99
     sticker
    0.99
    Activations Density 0.584%

    No Known Activations