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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. 9-RES-JB
    11. 5670
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    Explanations

    references to economic spending

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to government spending

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ija
    -0.82
    eller
    -0.74
    Ļ½
    -0.72
    Sensor
    -0.71
    inical
    -0.71
    ĪĴ
    -0.68
     sshd
    -0.68
     Alto
    -0.67
    ijn
    -0.67
    nee
    -0.67
    POSITIVE LOGITS
     spree
    1.22
    itures
    1.12
     reductions
    0.97
     cuts
    0.97
     expenditures
    0.95
     habits
    0.94
     expenditure
    0.91
    iture
    0.88
     financed
    0.87
     dollars
    0.86
    Activations Density 0.038%

    No Known Activations