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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. 7-RES-JB
    6. 15080
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     overfl
    -0.82
     advers
    -0.81
     roadway
    -0.81
     bip
    -0.80
     hom
    -0.78
     epidem
    -0.78
     rhyth
    -0.76
     biod
    -0.75
     liaison
    -0.74
     debris
    -0.73
    POSITIVE LOGITS
    /$
    1.14
     ¥
    1.13
    £
    1.12
    price
    1.09
     SOLD
    1.06
     Prices
    1.05
     £
    1.05
     Sold
    1.02
     Pricing
    1.01
    Price
    1.00
    Activations Density 0.276%

    No Known Activations