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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    mentions of different aspects of elections

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "election" and related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Caribbean
    -0.66
    ienne
    -0.66
    Factor
    -0.63
    jer
    -0.63
     Wee
    -0.61
     Lank
    -0.61
     Flavoring
    -0.59
    oken
    -0.59
    azer
    -0.59
    ciplinary
    -0.59
    POSITIVE LOGITS
    eering
    1.78
     campaigns
    0.94
     campaign
    0.93
    eer
    0.90
     cycle
    0.84
    course
    0.83
     manifesto
    0.78
     turnout
    0.78
     polls
    0.78
     cycles
    0.77
    Activations Density 0.047%

    No Known Activations