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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. 7-RES-JB
    11. 21480
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    Explanations

    references to pipelines and energy sources

    oai_token-act-pair · gpt-3.5-turbo

    references to natural gas and oil pipeline topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dumbledore
    -0.91
     Gamer
    -0.82
     OCD
    -0.81
     Gest
    -0.78
     etiquette
    -0.76
    verbal
    -0.76
     Horror
    -0.76
     Tatt
    -0.75
     Discord
    -0.75
     subconscious
    -0.74
    POSITIVE LOGITS
     wastewater
    1.33
     pipelines
    1.29
     uranium
    1.25
     petroleum
    1.23
     shale
    1.23
     diesel
    1.22
     coal
    1.17
    roleum
    1.17
     renewable
    1.16
     fuels
    1.15
    Activations Density 0.756%

    No Known Activations