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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. 0-RES-JB
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    Explanations

    large quantities of money in Indian currency

    oai_token-act-pair · gpt-3.5-turbo

    references to monetary amounts in Indian currency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wil
    -0.83
     Wolf
    -0.75
     Du
    -0.74
     Wood
    -0.70
     Winter
    -0.66
     Wilson
    -0.65
     W
    -0.65
     Eld
    -0.64
     Al
    -0.63
     Sed
    -0.63
    POSITIVE LOGITS
     crore
    4.16
     lakh
    2.59
    India
    1.31
     Hindi
    1.26
    billion
    1.25
    ashtra
    1.24
     Chennai
    1.23
    million
    1.23
     Aadhaar
    1.19
     Gujar
    1.19
    Activations Density 0.016%

    No Known Activations