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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23975
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    INDEX
    Explanations

    mentions of specific numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to the healthcare system and its impact on various populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fulness
    -0.76
    manship
    -0.74
    tackle
    -0.65
    washing
    -0.65
    forward
    -0.64
    wcsstore
    -0.64
     symmetry
    -0.63
    Episode
    -0.63
    assetsadobe
    -0.61
    imposed
    -0.61
    POSITIVE LOGITS
     poorest
    1.49
     wealthiest
    1.38
     masses
    1.33
     elderly
    1.27
     unemployed
    1.27
     disadvantaged
    1.18
     needy
    1.17
     populace
    1.16
     richest
    1.15
     oppressed
    1.14
    Activations Density 0.216%

    No Known Activations