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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 4090
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    Explanations

    phrases related to innovation or creations

    oai_token-act-pair · gpt-3.5-turbo

    references to inventions and patents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    andra
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    iland
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    sen
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    chi
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     Blessed
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    ça
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    ne
    -0.63
    ellow
    -0.63
    gettable
    -0.63
    nie
    -0.63
    POSITIVE LOGITS
    ulence
    0.90
    uristic
    0.89
     Takeru
    0.87
     Invention
    0.85
    æ©
    0.84
     invention
    0.84
    ĸļ
    0.82
    uyomi
    0.80
    iveness
    0.75
    eering
    0.75
    Activations Density 0.008%

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