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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. 1-RES-JB
    11. 16006
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    Explanations

    terms related to voting, elections, and precincts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to electoral participation and voting metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.94
     hypothal
    -0.77
    ĪĴ
    -0.67
    BRE
    -0.65
     guarant
    -0.65
    iosyncr
    -0.64
     sophistic
    -0.63
     confir
    -0.62
     transact
    -0.62
     Balloon
    -0.61
    POSITIVE LOGITS
    izations
    0.89
    yard
    0.78
    bos
    0.76
    steen
    0.76
    eni
    0.75
    ize
    0.74
    ichick
    0.74
    enos
    0.73
    yards
    0.72
    izer
    0.68
    Activations Density 0.034%

    No Known Activations