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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. 0-RES-JB
    11. 4839
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    Explanations

    objects or concepts related to packaging, especially those that are positively associated with packaging such as following instructions, sustainable efforts, and excellence

    oai_token-act-pair · gpt-3.5-turbo

    references to packaging

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Clarke
    -0.71
    llan
    -0.68
    eve
    -0.66
    orers
    -0.66
     Races
    -0.63
     Scholar
    -0.63
    ren
    -0.63
     Divinity
    -0.63
     Herod
    -0.63
     Brah
    -0.62
    POSITIVE LOGITS
     packaging
    3.73
     packaged
    1.90
     package
    1.52
     wrapper
    1.51
     packages
    1.50
     packing
    1.45
     branding
    1.38
    packages
    1.36
     labeling
    1.36
     shipping
    1.30
    Activations Density 0.020%

    No Known Activations