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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. 7774
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    Explanations

    programming-related commands and instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating instructions or actions to be taken

    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
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    Negative Logits
     Winning
    -0.83
    beer
    -0.74
    living
    -0.73
    ylum
    -0.71
     Fell
    -0.69
    oneliness
    -0.69
    liv
    -0.68
    arious
    -0.68
    jury
    -0.68
    cigarette
    -0.67
    POSITIVE LOGITS
     configure
    1.50
     specify
    1.49
     initialize
    1.47
     modify
    1.36
     define
    1.36
     assign
    1.35
     compile
    1.35
     rename
    1.29
     implement
    1.29
     declare
    1.29
    Activations Density 0.176%

    No Known Activations