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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. 22664
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    Explanations

    phrases related to numbers and quantification

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and metrics related to growth or performance

    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
     disadvant
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     UNCLASSIFIED
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     exting
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    )).
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    âĹ¼
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    Secondly
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     reper
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     versa
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     [*
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     fung
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    POSITIVE LOGITS
     âĢº
    0.82
     Updated
    0.73
     Posted
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    20439
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     âĢİ
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     SHARES
    0.63
     Printed
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    reetings
    0.61
    Welcome
    0.60
     Published
    0.59
    Activations Density 4.706%

    No Known Activations