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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. 16755
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    Explanations

    large financial figures or amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    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
     Tid
    -0.66
     Hast
    -0.66
     mun
    -0.65
     backlog
    -0.61
     Ern
    -0.60
     Pixie
    -0.58
     Hobby
    -0.58
     Stamp
    -0.57
     ted
    -0.57
     numer
    -0.57
    POSITIVE LOGITS
    six
    0.97
    seven
    0.94
    five
    0.93
    QB
    0.93
    nine
    0.92
    6
    0.87
    925
    0.85
    half
    0.84
    Players
    0.84
    5
    0.83
    Activations Density 0.029%

    No Known Activations