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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. 0-RES-JB
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    Explanations

    mentions of wealthy individuals, particularly billionaires

    oai_token-act-pair · gpt-3.5-turbo

    mentions of billionaires

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INAL
    -0.69
     Conduct
    -0.65
    ffect
    -0.65
     cf
    -0.64
     interpre
    -0.63
    ql
    -0.62
     DOC
    -0.61
     cam
    -0.61
     Trial
    -0.60
    Prep
    -0.60
    POSITIVE LOGITS
     billionaire
    3.54
     billionaires
    3.06
     millionaire
    2.52
     mogul
    2.02
     millionaires
    1.98
     businessman
    1.79
     Billion
    1.73
     entrepreneur
    1.57
     olig
    1.45
     wealthy
    1.45
    Activations Density 0.014%

    No Known Activations