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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. 6-RES-JB
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    Explanations

    mentions of government spending

    oai_token-act-pair · gpt-3.5-turbo

    references to government spending

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.72
    ĪĴ
    -0.71
    à¼
    -0.70
    Ļ½
    -0.67
    ija
    -0.66
     Sie
    -0.65
     Alto
    -0.65
    inical
    -0.65
     Jem
    -0.63
    olithic
    -0.61
    POSITIVE LOGITS
    itures
    1.09
     spree
    1.04
     expenditure
    1.03
     expenditures
    0.99
    iture
    0.88
     Spending
    0.85
     budgets
    0.85
     allocations
    0.81
     habits
    0.80
     money
    0.79
    Activations Density 0.030%

    No Known Activations