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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. 17226
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    Explanations

    mentions of statistical analysis and data source terms

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical methods and their applications

    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
     Revival
    -0.73
     Rez
    -0.68
     Rebell
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     Forsaken
    -0.66
    mods
    -0.66
     muted
    -0.64
     Nether
    -0.64
    orthern
    -0.63
    icken
    -0.62
     Verse
    -0.61
    POSITIVE LOGITS
     methodology
    1.42
     analytics
    1.41
    analy
    1.37
     analytical
    1.36
     algorithms
    1.35
     predictive
    1.33
     statistical
    1.29
     databases
    1.29
     forecasting
    1.27
     analytic
    1.26
    Activations Density 0.697%

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