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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. 406
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    Explanations

    real-time data related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to real-time data and events

    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
     poles
    -0.79
    quet
    -0.77
     blankets
    -0.72
    orate
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     nets
    -0.66
    atin
    -0.63
     Shant
    -0.63
     Neh
    -0.62
     belts
    -0.62
     colonies
    -0.62
    POSITIVE LOGITS
    estate
    0.72
    GD
    0.68
    naissance
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    ensional
    0.64
     scrut
    0.63
     Fargo
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    #$
    0.62
    DonaldTrump
    0.60
    Draft
    0.60
    tics
    0.60
    Activations Density 0.207%

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