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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. 20161
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    INDEX
    Explanations

    financial and economic data points or indicators

    oai_token-act-pair · gpt-3.5-turbo

    quantitative metrics related to rates and percentages

    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
    ĪĴ
    -0.72
    rete
    -0.68
     conting
    -0.64
    itialized
    -0.62
     deadline
    -0.61
    edi
    -0.58
     timing
    -0.58
    ADA
    -0.58
    erie
    -0.57
     reinforcements
    -0.57
    POSITIVE LOGITS
     97
    0.91
     87
    0.90
     57
    0.89
     91
    0.88
     0
    0.88
     98
    0.88
     93
    0.88
     37
    0.87
     89
    0.87
     67
    0.87
    Activations Density 0.179%

    No Known Activations