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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. 9-RES-JB
    11. 22737
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    Explanations

    phrases related to online activities, technology, and digital marketing

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their frequency in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     glim
    -0.84
     feral
    -0.80
     shorthand
    -0.80
     babys
    -0.79
     swat
    -0.79
     quir
    -0.78
     peanut
    -0.77
     uncom
    -0.74
     bourbon
    -0.74
     blight
    -0.73
    POSITIVE LOGITS
     Therefore
    1.66
     Moreover
    1.61
     Hence
    1.61
     Besides
    1.56
    Therefore
    1.48
     Regarding
    1.42
     Furthermore
    1.40
     Firstly
    1.37
     Also
    1.36
     Especially
    1.36
    Activations Density 0.664%

    No Known Activations