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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. 9-RES-JB
    11. 3241
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics associated with events or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hement
    -0.90
    maxwell
    -0.66
     favoured
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    paces
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     aging
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     footing
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    baugh
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     reflected
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     Cent
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    abouts
    -0.52
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
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    ³³³
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    ãĥ¯ãĥ³
    0.63
    estern
    0.62
    Spoiler
    0.62
    Scroll
    0.60
    uber
    0.60
    Round
    0.59
    Activations Density 0.263%

    No Known Activations