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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. 8228
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    Explanations

    phrases with URLs

    oai_token-act-pair · gpt-3.5-turbo

    URLs or web links

    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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    Negative Logits
     overshadow
    -0.68
     expulsion
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    ricular
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     Morse
    -0.62
     uncond
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     Palest
    -0.60
     succeeding
    -0.59
     mainland
    -0.58
     destro
    -0.58
    ority
    -0.57
    POSITIVE LOGITS
    ://
    1.90
    www
    1.04
    :/
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     www
    0.92
    youtu
    0.86
    docs
    0.84
    natureconservancy
    0.84
    geist
    0.83
    erver
    0.82
    books
    0.81
    Activations Density 0.013%

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