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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. 4-RES-JB
    11. 24114
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    Explanations

    phrases related to fossil fuels

    oai_token-act-pair · gpt-3.5-turbo

    references to fossil fuels and their impact or relevance in various contexts

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

    No Comments

    Negative Logits
    iple
    -0.79
     Niet
    -0.78
    yip
    -0.77
    èª
    -0.74
     Sloven
    -0.74
    etheless
    -0.73
    é¾įåĸļ士
    -0.72
    irc
    -0.72
    apan
    -0.70
    upper
    -0.70
    POSITIVE LOGITS
     divest
    0.94
     fuels
    0.90
     combustion
    0.87
    ocene
    0.82
     majors
    0.78
    ioxide
    0.78
     industry
    0.78
    ansas
    0.78
     industries
    0.76
     corporations
    0.76
    Activations Density 0.028%

    No Known Activations