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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. 13977
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    Explanations

    mentions of locations or specific places

    oai_token-act-pair · gpt-3.5-turbo

    references to educational experiences and interactions with classmates

    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
    xit
    -0.67
     2020
    -0.61
     Hezbollah
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     deterrence
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     2024
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    anwhile
    -0.58
     rivals
    -0.57
    worthiness
    -0.55
     threatens
    -0.53
     2025
    -0.53
    POSITIVE LOGITS
     myself
    1.03
     my
    0.91
     haha
    0.81
     :)
    0.77
     :-)
    0.71
    My
    0.67
     blogging
    0.66
    my
    0.66
    nesday
    0.66
     Soup
    0.65
    Activations Density 2.092%

    No Known Activations