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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. 10-RES-JB
    11. 10505
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    Explanations

    dates in various formats

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical references in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    166
    -0.92
    KO
    -0.88
    lake
    -0.83
    VO
    -0.80
    462
    -0.80
     Conor
    -0.79
    Dest
    -0.79
    Pokemon
    -0.79
    666
    -0.78
    Ko
    -0.78
    POSITIVE LOGITS
     2009
    1.51
     2010
    1.38
    2009
    1.35
    2010
    1.20
     2008
    1.11
     2011
    0.99
    2008
    0.92
     2007
    0.91
    imeters
    0.90
     Gibbs
    0.86
    Activations Density 0.210%

    No Known Activations