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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. 11-RES-JB
    11. 6126
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    Explanations

    phrases related to numerical data or measurements, such as heights, weights, times, and quantities

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     skelet
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     confir
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    Reviewer
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     nodd
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     sacrific
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     Blooming
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     appre
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     aborted
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     acknow
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    allery
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    POSITIVE LOGITS
     respectively
    0.80
    999
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    FFFF
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     GHz
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     kHz
    0.73
    soDeliveryDate
    0.72
     hundred
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    kHz
    0.72
     depending
    0.69
    ousand
    0.68
    Activations Density 0.080%

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