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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. 4-RES-JB
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    Explanations

    mentions of US senators

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Senator" with associated names or numbers, indicating a focus on political figures

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

    No Comments

    Negative Logits
    tera
    -0.71
    ãĥ¼ãĥ³
    -0.66
    lot
    -0.66
    heading
    -0.66
     leash
    -0.65
    Company
    -0.65
     srf
    -0.63
     brim
    -0.62
    footed
    -0.61
     economical
    -0.59
    POSITIVE LOGITS
     Senator
    0.97
    ileaks
    0.95
    ial
    0.90
    iors
    0.90
    Senator
    0.89
     Barack
    0.86
    arians
    0.85
     senator
    0.84
    pai
    0.82
     Dianne
    0.79
    Activations Density 0.013%

    No Known Activations