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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. 2897
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    INDEX
    Explanations

    political keywords and phrases related to campaigns and elections

    oai_token-act-pair · gpt-3.5-turbo

    punctuations and certain conjunctions in a political context

    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
     glim
    -0.94
     liner
    -0.79
     harvest
    -0.78
     steril
    -0.75
     storing
    -0.75
    elled
    -0.75
    ilated
    -0.75
     extinct
    -0.74
     spatial
    -0.74
     prehistoric
    -0.74
    POSITIVE LOGITS
     Voters
    1.59
    Republicans
    1.41
    Democrats
    1.34
     Meanwhile
    1.29
     Republicans
    1.28
     Democrats
    1.25
     Pelosi
    1.22
     Rove
    1.21
    Republican
    1.19
     Critics
    1.19
    Activations Density 0.493%

    No Known Activations