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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
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    Explanations

    information related to political elections and outcomes

    oai_token-act-pair · gpt-3.5-turbo

    indicators of election success and voting outcomes

    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
    rogens
    -0.70
    ichick
    -0.70
    Redditor
    -0.69
    bleacher
    -0.68
     impunity
    -0.67
     Architects
    -0.65
    âĢİ
    -0.65
    angelo
    -0.65
     rappers
    -0.65
    zik
    -0.65
    POSITIVE LOGITS
     polls
    1.57
     elections
    1.48
     election
    1.39
     midterm
    1.36
     primaries
    1.30
     runoff
    1.21
     contests
    1.19
     Election
    1.18
     electoral
    1.17
     landslide
    1.16
    Activations Density 0.332%

    No Known Activations