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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. 8-RES-JB
    6. 5349
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    Explanations

    financial values and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and financial references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    opter
    -0.72
    NetMessage
    -0.69
    hood
    -0.68
    ribune
    -0.64
    opol
    -0.63
    anship
    -0.62
    vity
    -0.61
     allerg
    -0.59
    opic
    -0.59
    geist
    -0.59
    POSITIVE LOGITS
     âĨ
    0.73
     VAT
    0.70
     RET
    0.68
     rg
    0.68
     ¥
    0.67
     âĤ¬
    0.66
     £
    0.66
     Carney
    0.66
     ..........
    0.66
    ilet
    0.65
    Activations Density 0.124%

    No Known Activations