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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. 12-RES-JB
    11. 3855
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    Explanations

    terms related to voting laws and voter fraud

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    keywords related to voter registration and election processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Osw
    -0.74
     Hiroshima
    -0.72
     Kear
    -0.72
    alin
    -0.65
    ously
    -0.65
    iasis
    -0.64
     Wrest
    -0.63
    forward
    -0.62
    obar
    -0.61
     Built
    -0.61
    POSITIVE LOGITS
     registration
    1.14
     turnout
    1.11
     suppression
    1.08
     rolls
    1.04
     registrations
    0.98
     Registration
    0.93
     fraud
    0.92
     booths
    0.91
     ID
    0.90
     irregularities
    0.87
    Activations Density 0.055%

    No Known Activations