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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. 5-RES-JB
    6. 7791
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    Explanations

    specific mentions of electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    references to various devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    steen
    -0.86
    stad
    -0.85
     Nights
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    gres
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    heit
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    atorium
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    osta
    -0.68
    ta
    -0.67
    vind
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    é»Ĵ
    -0.67
    POSITIVE LOGITS
     devices
    1.00
     Devices
    0.93
    awei
    0.85
     device
    0.84
     implanted
    0.84
    devices
    0.77
     Device
    0.76
     gadgets
    0.72
     wallets
    0.71
    Registered
    0.71
    Activations Density 0.025%

    No Known Activations