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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. 8366
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    INDEX
    Explanations

    dates in various formats

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical representations associated with events

    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
    ļéĨĴ
    -0.68
    etheless
    -0.65
     mole
    -0.56
     impulse
    -0.52
     untold
    -0.51
     unanswered
    -0.51
    *:
    -0.51
     anat
    -0.50
    iries
    -0.50
     ende
    -0.50
    POSITIVE LOGITS
     2017
    1.10
     2016
    1.03
     2015
    1.03
     2014
    1.02
     2013
    1.00
    2014
    0.99
     2012
    0.98
     2011
    0.97
    2017
    0.96
     1974
    0.96
    Activations Density 0.032%

    No Known Activations