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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. 17896
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    Explanations

    words related to political campaigns and elections, particularly focusing on the term "run-off"

    oai_token-act-pair · gpt-3.5-turbo

    references to election-related events or processes

    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
    •politic_residual_layer9_gpt2small

    No Comments

    Negative Logits
    ciating
    -0.69
     Disciple
    -0.66
     Cind
    -0.61
     GDDR
    -0.60
    essee
    -0.58
     Ys
    -0.57
     Jelly
    -0.55
     Hels
    -0.55
     Hicks
    -0.54
     extrem
    -0.54
    POSITIVE LOGITS
    bys
    1.08
    offs
    0.97
    around
    0.94
    through
    0.92
    off
    0.89
    rate
    0.87
    cycle
    0.85
    blocking
    0.85
    centric
    0.84
    back
    0.84
    Activations Density 0.053%

    No Known Activations