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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. 12-RES-JB
    11. 2965
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    Explanations

    dates in the format month and year

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    dates mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yright
    -0.82
    aird
    -0.80
    ellectual
    -0.74
    jri
    -0.71
    mpire
    -0.67
    illac
    -0.66
     pione
    -0.66
    kef
    -0.65
    ļé
    -0.64
    sterdam
    -0.63
    POSITIVE LOGITS
     31
    0.93
     1941
    0.86
     2012
    0.83
     2014
    0.81
     2013
    0.80
     2015
    0.80
     1942
    0.80
     2011
    0.79
     2010
    0.79
     29
    0.78
    Activations Density 0.061%

    No Known Activations