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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. 14160
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    Explanations

    references to carbon dioxide in the context of environmental impact and emissions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of carbon dioxide and related chemical terms

    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
    odore
    -0.80
    ĪĴ
    -0.76
     Niet
    -0.75
     dexter
    -0.73
    @#&
    -0.71
    ullivan
    -0.69
    prototype
    -0.68
    adobe
    -0.67
    actionDate
    -0.67
    slice
    -0.67
    POSITIVE LOGITS
     emissions
    1.59
     emission
    1.40
     dioxide
    1.35
     pollution
    1.32
     concentrations
    1.23
    ioxide
    1.20
     emitted
    1.18
     gases
    1.13
     pollutants
    1.04
     concentration
    1.03
    Activations Density 0.070%

    No Known Activations