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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. 1-RES-JB
    11. 2501
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    Explanations

    words related to trade and imports

    oai_token-act-pair · gpt-3.5-turbo

    references to imports and imported goods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Peninsula
    -0.85
    pool
    -0.75
     Draper
    -0.71
     Bates
    -0.66
     Borough
    -0.65
     Springs
    -0.65
     hills
    -0.65
     Bee
    -0.65
    bps
    -0.65
    pton
    -0.63
    POSITIVE LOGITS
     imports
    1.18
     imported
    1.03
     importing
    0.99
     import
    0.86
    orters
    0.83
    urers
    0.83
     exported
    0.82
    unct
    0.79
    avorite
    0.79
    ugal
    0.79
    Activations Density 0.010%

    No Known Activations