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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. 10-RES-JB
    11. 1361
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    Explanations

    references to different demographics in the context of politics and voting

    oai_token-act-pair · gpt-3.5-turbo

    references to demographic groups and their voting behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     inspections
    -0.77
    itary
    -0.76
     Artemis
    -0.73
     protocol
    -0.73
     QC
    -0.73
     investigates
    -0.72
     licences
    -0.72
     protocols
    -0.71
     Trials
    -0.71
    humane
    -0.71
    POSITIVE LOGITS
     millennials
    1.36
     demographic
    1.34
     demographics
    1.34
     Millennials
    1.32
     millennial
    1.24
     disillusion
    1.20
     electorate
    1.19
     Millenn
    1.17
    enfranch
    1.14
     voters
    1.13
    Activations Density 0.520%

    No Known Activations