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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. 3007
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    Explanations

    phrases related to technology deployment and energy consumption, especially in the context of AMD products and services

    oai_token-act-pair · gpt-3.5-turbo

    terms related to energy consumption and technological deployments

    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
     awfully
    -0.87
     partisans
    -0.84
     Confederate
    -0.84
    Republicans
    -0.83
     booze
    -0.82
    Republican
    -0.80
     angrily
    -0.79
     yelling
    -0.78
     apologizing
    -0.78
     drunken
    -0.78
    POSITIVE LOGITS
     interoper
    1.08
     integrated
    1.05
     Integrated
    1.04
     scalable
    1.02
     integrates
    1.01
     util
    1.00
     integ
    1.00
     modules
    0.99
     integration
    0.99
     integrate
    0.98
    Activations Density 1.279%

    No Known Activations